diff --git a/test/_edges/rainy/edge_bg0.1_rm0.5.mp4 b/test/_edges/rainy/edge_bg0.1_rm0.5.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..96459df4aab4900f9868bc0dd47e2939a2a9a69d
--- /dev/null
+++ b/test/_edges/rainy/edge_bg0.1_rm0.5.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68bc994a8cf1e2cb1fe6376765d7d45b1079e20a8d11d61919efc6fcdd71d52c
+size 1736967
diff --git a/test/_edges/rainy/edge_bg0.1_rm1.mp4 b/test/_edges/rainy/edge_bg0.1_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..90ce8bb41d80e44d2579eec2eb6331c06918a5d7
--- /dev/null
+++ b/test/_edges/rainy/edge_bg0.1_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:97edce561821de24e4e337824a760db39ad31d413ef16a7ecfd2bd528732c94a
+size 2161396
diff --git a/test/_edges/rainy/edge_bg0.5_rm1.mp4 b/test/_edges/rainy/edge_bg0.5_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..7a28180b9ee2ac559655e8eb9c0866ce7775be6b
--- /dev/null
+++ b/test/_edges/rainy/edge_bg0.5_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2eca21d14538cdbeb240900455dedd801305c5e20b2c0e6510bd99bedec0393b
+size 2245258
diff --git a/test/_edges/sunny/edge_bg0.1_rm0.5.mp4 b/test/_edges/sunny/edge_bg0.1_rm0.5.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..2a617f7ff17e3e915d08558ebd17076614118c3e
--- /dev/null
+++ b/test/_edges/sunny/edge_bg0.1_rm0.5.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6a2dfc3d85d2f7233264e35b3efba407d5aa0f99f598031a834db909fad3c775
+size 1470146
diff --git a/test/_edges/sunny/edge_bg0.1_rm1.mp4 b/test/_edges/sunny/edge_bg0.1_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..c867fb720da59537e8490cca6ed0cafd736b70ae
--- /dev/null
+++ b/test/_edges/sunny/edge_bg0.1_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:007227f623db5f9d711bcb9457f7b24bbc7b0cee657742351f796bcf5c0ae56b
+size 1832034
diff --git a/test/_edges/sunny/edge_bg0.5_rm1.mp4 b/test/_edges/sunny/edge_bg0.5_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..8168f6ddbdcd446d049b565f928427fb549ed71e
--- /dev/null
+++ b/test/_edges/sunny/edge_bg0.5_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3dea1cb279c0eb767c59e1cd2ff8825eab934ddca9d7f441963c96c7e5170878
+size 1909080
diff --git a/test/_masks/rainy/Building_mask.mp4 b/test/_masks/rainy/Building_mask.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..111531cc7d5c2a0e64183b260b9b854ac58e8a28
--- /dev/null
+++ b/test/_masks/rainy/Building_mask.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1421ad5729128043f0f11fb600c0b7cc5af9d11dcea6d1d313951a722d284b5c
+size 903737
diff --git a/test/_masks/rainy/weather_mask.mp4 b/test/_masks/rainy/weather_mask.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..376d97468c4bfabdac32d35d97ec96ccaf701dbc
--- /dev/null
+++ b/test/_masks/rainy/weather_mask.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8fb3e7ac0c5bf48a320e82d156dada5d85325689edca3a3d39a6b4874915443b
+size 1439409
diff --git a/test/_masks/sunny/Building_mask.mp4 b/test/_masks/sunny/Building_mask.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..84e42233dd33e8a1c2e68c60e2ab2e4f5a5d414d
--- /dev/null
+++ b/test/_masks/sunny/Building_mask.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:293abe321d590f3e77d7cb2612d6744a7833971d7b22ca36073b0a932a302d0b
+size 265959
diff --git a/test/_masks/sunny/weather_mask.mp4 b/test/_masks/sunny/weather_mask.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..a42e21567fdb60c8672b73410639b3f8b68f7645
--- /dev/null
+++ b/test/_masks/sunny/weather_mask.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d7a83c2b0bd8cc6837aabaeba3e4552578743016008004429772238a5d043b0a
+size 497925
diff --git a/test/rainy/Building/2b_step35_bg0.1_rm0.5/config.yaml b/test/rainy/Building/2b_step35_bg0.1_rm0.5/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..770643ea3ccd650f23ab34e5d54ea1a67286edca
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.1_rm0.5/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fa0cde07250>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fa0cde07250>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fa0cde07370>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7fa0cde07910>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fa0cde07370>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7fa0cde07d00>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7fa0d22f3910>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7fa0cdd303a0>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/rainy/Building/2b_step35_bg0.1_rm0.5/console.log b/test/rainy/Building/2b_step35_bg0.1_rm0.5/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..42b82886c1200e82153ffc052546a232f0fbc2e4
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.1_rm0.5/console.log
@@ -0,0 +1,18 @@
+[06-21 17:11:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 17:11:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:11:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 17:11:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:11:40|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 17:11:40|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 17:11:42|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 17:11:42|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.1_rm0.5/config.yaml
+[06-21 17:11:42|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_Building_2b_step35_bg0.1_rm0.5']
+[06-21 17:11:42|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_Building_2b_step35_bg0.1_rm0.5
+[06-21 17:11:42|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.1_rm0.5/rainy_Building_2b_step35_bg0.1_rm0.5.json
+[06-21 17:11:42|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 17:11:42|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 17:22:14|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.1_rm0.5/rainy_Building_2b_step35_bg0.1_rm0.5_control_edge.mp4
+[06-21 17:22:14|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 17:22:16|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.1_rm0.5/rainy_Building_2b_step35_bg0.1_rm0.5.mp4
diff --git a/test/rainy/Building/2b_step35_bg0.1_rm0.5/debug.log b/test/rainy/Building/2b_step35_bg0.1_rm0.5/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..71aa625dfd5af399a584268d501c9de201443924
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.1_rm0.5/debug.log
@@ -0,0 +1,973 @@
+[06-21 17:11:16|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 17:11:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 17:11:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 17:11:28|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 17:11:28|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 17:11:29|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.1_rm0.5') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 17:11:29|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 17:11:29|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 17:11:29|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 17:11:29|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 17:11:29|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 17:11:29|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 17:11:29|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 17:11:29|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 17:11:29|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 17:11:29|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 17:11:29|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 17:11:29|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 17:11:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 17:11:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 17:11:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 17:11:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 17:11:29|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 17:11:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 17:11:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 17:11:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 17:11:29|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 17:11:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 17:11:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 17:11:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 17:11:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 17:11:30|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 17:11:30|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 17:11:30|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 17:11:30|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 17:11:30|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 17:11:30|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 17:11:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 17:11:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 17:11:31|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 17:11:31|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 0.98 s
+[06-21 17:11:34|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 17:11:34|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 17:11:34|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 17:11:34|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 17:11:34|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 17:11:34|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 17:11:34|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 17:11:34|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 17:11:34|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 17:11:34|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 17:11:34|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 17:11:34|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 17:11:34|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 17:11:34|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 17:11:34|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 17:11:34|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.07 s
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.89 s
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.42 s
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.42 s
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 17:11:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:11:36|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 17:11:36|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 17:11:36|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 17:11:36|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 17:11:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 17:11:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:11:40|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 17:11:40|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 17:11:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 17:11:40|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 10.08 s
+[06-21 17:11:40|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 17:11:40|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 17:11:40|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 17:11:41|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:11:42|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 17:11:42|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 17:11:42|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 17:11:42|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 17:11:42|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 17:11:42|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.1_rm0.5/config.yaml
+[06-21 17:11:42|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_Building_2b_step35_bg0.1_rm0.5']
+[06-21 17:11:42|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_Building_2b_step35_bg0.1_rm0.5
+[06-21 17:11:42|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='rainy_Building_2b_step35_bg0.1_rm0.5' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 17:11:42|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.1_rm0.5/rainy_Building_2b_step35_bg0.1_rm0.5.json
+[06-21 17:11:42|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 17:11:42|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 17:11:42|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 17:11:42|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4
+[06-21 17:11:42|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 17:11:42|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 17:11:42|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 17:11:42|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 17:11:42|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 17:11:42|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 17:11:42|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4
+[06-21 17:11:42|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 176
+[06-21 17:11:43|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 17:11:43|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 17:11:43|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 17:11:43|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 17:11:43|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:11:43|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 17:11:43|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:12:01|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:17:08|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 17:17:08|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 17:17:08|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 17:17:08|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 17:17:08|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:17:08|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 17:17:08|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:17:11|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:22:13|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 314.19064437551424
+[06-21 17:22:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 17:22:14|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.1_rm0.5/rainy_Building_2b_step35_bg0.1_rm0.5_control_edge.mp4
+[06-21 17:22:14|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 17:22:14|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 17:22:16|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.1_rm0.5/rainy_Building_2b_step35_bg0.1_rm0.5.mp4
diff --git a/test/rainy/Building/2b_step35_bg0.1_rm0.5/rainy_Building_2b_step35_bg0.1_rm0.5.json b/test/rainy/Building/2b_step35_bg0.1_rm0.5/rainy_Building_2b_step35_bg0.1_rm0.5.json
new file mode 100644
index 0000000000000000000000000000000000000000..4d25de7856fa26b992f83ed06ef8e2999204ad20
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.1_rm0.5/rainy_Building_2b_step35_bg0.1_rm0.5.json
@@ -0,0 +1 @@
+{"name":"rainy_Building_2b_step35_bg0.1_rm0.5","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/rainy/Building/2b_step35_bg0.1_rm0.5/rainy_Building_2b_step35_bg0.1_rm0.5.mp4 b/test/rainy/Building/2b_step35_bg0.1_rm0.5/rainy_Building_2b_step35_bg0.1_rm0.5.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..4fd8faee28d646374837b95ec27bd2da8bc283b8
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.1_rm0.5/rainy_Building_2b_step35_bg0.1_rm0.5.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1fa9a15519bb9b59b557e08ac5d9bfee9c8e7d5d475e54e3ce45652beea7cea4
+size 2663720
diff --git a/test/rainy/Building/2b_step35_bg0.1_rm0.5/rainy_Building_2b_step35_bg0.1_rm0.5.txt b/test/rainy/Building/2b_step35_bg0.1_rm0.5/rainy_Building_2b_step35_bg0.1_rm0.5.txt
new file mode 100644
index 0000000000000000000000000000000000000000..213c470aee0671b5a985429e153c07e4efd43cd3
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.1_rm0.5/rainy_Building_2b_step35_bg0.1_rm0.5.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.
\ No newline at end of file
diff --git a/test/rainy/Building/2b_step35_bg0.1_rm0.5/rainy_Building_2b_step35_bg0.1_rm0.5_control_edge.mp4 b/test/rainy/Building/2b_step35_bg0.1_rm0.5/rainy_Building_2b_step35_bg0.1_rm0.5_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..0efd7167248d6dc726173bc526b89fbe81ff601c
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.1_rm0.5/rainy_Building_2b_step35_bg0.1_rm0.5_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7485b050e777b96bed1aa6964ab1403dcc5f780868ddb049bf7c86e10fb761ef
+size 1676430
diff --git a/test/rainy/Building/2b_step35_bg0.1_rm0.5/spec.json b/test/rainy/Building/2b_step35_bg0.1_rm0.5/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..ee488003ca31043e6ad02f8555512ddf8f923cfa
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.1_rm0.5/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "rainy_Building_2b_step35_bg0.1_rm0.5",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures."
+}
\ No newline at end of file
diff --git a/test/rainy/Building/2b_step35_bg0.1_rm1/config.yaml b/test/rainy/Building/2b_step35_bg0.1_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..eb27f82317c657a274c3c0109befec64f25f96ac
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.1_rm1/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f5f1480f2e0>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f5f1480f2e0>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f5f1480f400>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f5f1480f9a0>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f5f1480f400>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f5f1480fd90>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f5f18cf79a0>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f5f147385e0>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/rainy/Building/2b_step35_bg0.1_rm1/console.log b/test/rainy/Building/2b_step35_bg0.1_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..49addc25397b5c701d986a85e506717accd8afea
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.1_rm1/console.log
@@ -0,0 +1,18 @@
+[06-21 17:22:33|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 17:22:33|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:22:39|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 17:22:39|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:22:43|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 17:22:43|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 17:22:45|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 17:22:45|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.1_rm1/config.yaml
+[06-21 17:22:45|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_Building_2b_step35_bg0.1_rm1']
+[06-21 17:22:45|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_Building_2b_step35_bg0.1_rm1
+[06-21 17:22:45|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.1_rm1/rainy_Building_2b_step35_bg0.1_rm1.json
+[06-21 17:22:45|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 17:22:45|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 17:33:28|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.1_rm1/rainy_Building_2b_step35_bg0.1_rm1_control_edge.mp4
+[06-21 17:33:28|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 17:33:30|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.1_rm1/rainy_Building_2b_step35_bg0.1_rm1.mp4
diff --git a/test/rainy/Building/2b_step35_bg0.1_rm1/debug.log b/test/rainy/Building/2b_step35_bg0.1_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..eba3ab953e195026199f416eb9fa3057daa37458
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.1_rm1/debug.log
@@ -0,0 +1,973 @@
+[06-21 17:22:19|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 17:22:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 17:22:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 17:22:31|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 17:22:32|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 17:22:32|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.1_rm1') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 17:22:32|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 17:22:32|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 17:22:32|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 17:22:32|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 17:22:32|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 17:22:32|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 17:22:32|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 17:22:32|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 17:22:32|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 17:22:32|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 17:22:32|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 17:22:32|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 17:22:32|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 17:22:32|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 17:22:32|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 17:22:32|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 17:22:32|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 17:22:32|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 17:22:32|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 17:22:32|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 17:22:32|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 17:22:32|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 17:22:32|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 17:22:32|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 17:22:32|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 17:22:32|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 17:22:32|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 17:22:33|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 17:22:33|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 17:22:33|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 17:22:33|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 17:22:33|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 17:22:33|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 17:22:34|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 17:22:34|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 1.30 s
+[06-21 17:22:37|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 17:22:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 17:22:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 17:22:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 17:22:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 17:22:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 17:22:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 17:22:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 17:22:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 17:22:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 17:22:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 17:22:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 17:22:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 17:22:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 17:22:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 17:22:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.08 s
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.84 s
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.11 s
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.11 s
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 17:22:38|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:22:39|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 17:22:39|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 17:22:39|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 17:22:39|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 17:22:39|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 17:22:39|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:22:43|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 17:22:43|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 17:22:43|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 17:22:43|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 10.12 s
+[06-21 17:22:43|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 17:22:43|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 17:22:43|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 17:22:44|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:22:45|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 17:22:45|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 17:22:45|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 17:22:45|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 17:22:45|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 17:22:45|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.1_rm1/config.yaml
+[06-21 17:22:45|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_Building_2b_step35_bg0.1_rm1']
+[06-21 17:22:45|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_Building_2b_step35_bg0.1_rm1
+[06-21 17:22:45|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='rainy_Building_2b_step35_bg0.1_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 17:22:45|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.1_rm1/rainy_Building_2b_step35_bg0.1_rm1.json
+[06-21 17:22:45|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 17:22:45|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 17:22:45|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 17:22:45|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4
+[06-21 17:22:45|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 17:22:45|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 17:22:45|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 17:22:45|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 17:22:45|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 17:22:45|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 17:22:45|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4
+[06-21 17:22:45|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 17:22:45|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 17:22:45|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 17:22:46|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 17:22:46|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 17:22:46|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:22:46|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 17:22:46|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:23:04|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:28:18|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 17:28:18|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 17:28:19|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 17:28:19|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 17:28:19|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:28:19|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 17:28:19|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:28:22|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:33:25|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 318.4213521160418
+[06-21 17:33:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 17:33:28|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.1_rm1/rainy_Building_2b_step35_bg0.1_rm1_control_edge.mp4
+[06-21 17:33:28|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 17:33:28|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 17:33:30|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.1_rm1/rainy_Building_2b_step35_bg0.1_rm1.mp4
diff --git a/test/rainy/Building/2b_step35_bg0.1_rm1/rainy_Building_2b_step35_bg0.1_rm1.json b/test/rainy/Building/2b_step35_bg0.1_rm1/rainy_Building_2b_step35_bg0.1_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..b6fdbbfc4f15c099639f7f81a643e0754a39d393
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.1_rm1/rainy_Building_2b_step35_bg0.1_rm1.json
@@ -0,0 +1 @@
+{"name":"rainy_Building_2b_step35_bg0.1_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/rainy/Building/2b_step35_bg0.1_rm1/rainy_Building_2b_step35_bg0.1_rm1.mp4 b/test/rainy/Building/2b_step35_bg0.1_rm1/rainy_Building_2b_step35_bg0.1_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..cec882893b7b320019cdc420e519db78a98759eb
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.1_rm1/rainy_Building_2b_step35_bg0.1_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f5e1f96bf886d0b52310629e6aef9fa261d5e56a1acc4a1f1be4977bbb6fb8ee
+size 6913917
diff --git a/test/rainy/Building/2b_step35_bg0.1_rm1/rainy_Building_2b_step35_bg0.1_rm1.txt b/test/rainy/Building/2b_step35_bg0.1_rm1/rainy_Building_2b_step35_bg0.1_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..213c470aee0671b5a985429e153c07e4efd43cd3
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.1_rm1/rainy_Building_2b_step35_bg0.1_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.
\ No newline at end of file
diff --git a/test/rainy/Building/2b_step35_bg0.1_rm1/rainy_Building_2b_step35_bg0.1_rm1_control_edge.mp4 b/test/rainy/Building/2b_step35_bg0.1_rm1/rainy_Building_2b_step35_bg0.1_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..3d26387ac3b10e58e0ccf5d217c25453be731eef
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.1_rm1/rainy_Building_2b_step35_bg0.1_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dc0a0df691bf27491874ae8aa19c94186b1824969467acc8e5ec0befdad2d3db
+size 2163198
diff --git a/test/rainy/Building/2b_step35_bg0.1_rm1/spec.json b/test/rainy/Building/2b_step35_bg0.1_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..9edcf4abb325ee6464d3845d839151f3dad18412
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.1_rm1/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "rainy_Building_2b_step35_bg0.1_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures."
+}
\ No newline at end of file
diff --git a/test/rainy/Building/2b_step35_bg0.5_rm1/config.yaml b/test/rainy/Building/2b_step35_bg0.5_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..2e1b48a44d968e4c211f1089997a7ebd0156e923
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.5_rm1/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fb80c70f2e0>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fb80c70f2e0>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fb80c70f400>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7fb80c70f9a0>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fb80c70f400>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7fb80c70fd90>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7fb810bf79a0>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7fb80c638430>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/rainy/Building/2b_step35_bg0.5_rm1/console.log b/test/rainy/Building/2b_step35_bg0.5_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..4b14e1ade96b88933823705799709f63517d2548
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.5_rm1/console.log
@@ -0,0 +1,18 @@
+[06-21 17:35:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 17:35:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:35:27|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 17:35:27|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:35:33|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 17:35:33|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 17:35:36|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 17:35:36|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.5_rm1/config.yaml
+[06-21 17:35:36|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_Building_2b_step35_bg0.5_rm1']
+[06-21 17:35:36|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_Building_2b_step35_bg0.5_rm1
+[06-21 17:35:36|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.5_rm1/rainy_Building_2b_step35_bg0.5_rm1.json
+[06-21 17:35:36|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 17:35:36|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 17:46:10|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.5_rm1/rainy_Building_2b_step35_bg0.5_rm1_control_edge.mp4
+[06-21 17:46:10|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 17:46:12|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.5_rm1/rainy_Building_2b_step35_bg0.5_rm1.mp4
diff --git a/test/rainy/Building/2b_step35_bg0.5_rm1/debug.log b/test/rainy/Building/2b_step35_bg0.5_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..485bc75c3a05f6dc22441f10a2de6649ca75e7db
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.5_rm1/debug.log
@@ -0,0 +1,973 @@
+[06-21 17:34:24|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 17:34:40|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 17:34:40|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 17:35:19|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 17:35:19|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 17:35:19|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.5_rm1') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 17:35:20|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 17:35:20|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 17:35:20|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 17:35:20|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 17:35:20|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 17:35:20|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 17:35:20|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 17:35:20|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 17:35:20|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 17:35:20|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 17:35:20|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 17:35:20|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 17:35:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 17:35:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 17:35:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 17:35:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 17:35:20|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 17:35:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 17:35:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 17:35:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 17:35:20|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 17:35:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 17:35:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 17:35:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 17:35:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 17:35:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 17:35:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 17:35:20|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 17:35:20|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 17:35:20|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 17:35:20|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 17:35:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 17:35:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 17:35:21|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 17:35:21|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 1.04 s
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.08 s
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.83 s
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.12 s
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.12 s
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 17:35:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:35:27|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 17:35:27|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 17:35:27|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 17:35:27|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 17:35:27|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 17:35:27|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:35:33|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 17:35:33|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 17:35:33|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 17:35:33|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 12.84 s
+[06-21 17:35:33|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 17:35:33|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 17:35:34|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 17:35:36|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:35:36|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 17:35:36|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 17:35:36|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 17:35:36|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 17:35:36|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 17:35:36|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.5_rm1/config.yaml
+[06-21 17:35:36|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_Building_2b_step35_bg0.5_rm1']
+[06-21 17:35:36|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_Building_2b_step35_bg0.5_rm1
+[06-21 17:35:36|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='rainy_Building_2b_step35_bg0.5_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 17:35:36|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.5_rm1/rainy_Building_2b_step35_bg0.5_rm1.json
+[06-21 17:35:36|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 17:35:36|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 17:35:36|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 17:35:36|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4
+[06-21 17:35:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 17:35:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 17:35:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 17:35:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 17:35:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 17:35:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 17:35:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4
+[06-21 17:35:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 17:35:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 17:35:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 17:35:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 17:35:38|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 17:35:38|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:35:38|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 17:35:38|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:35:56|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:41:03|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 17:41:03|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 17:41:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 17:41:03|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 17:41:03|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:41:03|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 17:41:03|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:41:05|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:46:09|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 314.6682530285325
+[06-21 17:46:09|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 17:46:10|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.5_rm1/rainy_Building_2b_step35_bg0.5_rm1_control_edge.mp4
+[06-21 17:46:10|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 17:46:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 17:46:12|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_bg0.5_rm1/rainy_Building_2b_step35_bg0.5_rm1.mp4
diff --git a/test/rainy/Building/2b_step35_bg0.5_rm1/rainy_Building_2b_step35_bg0.5_rm1.json b/test/rainy/Building/2b_step35_bg0.5_rm1/rainy_Building_2b_step35_bg0.5_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..58980c249b871b345948deadeb6a88d332b14e8a
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.5_rm1/rainy_Building_2b_step35_bg0.5_rm1.json
@@ -0,0 +1 @@
+{"name":"rainy_Building_2b_step35_bg0.5_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/rainy/Building/2b_step35_bg0.5_rm1/rainy_Building_2b_step35_bg0.5_rm1.mp4 b/test/rainy/Building/2b_step35_bg0.5_rm1/rainy_Building_2b_step35_bg0.5_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..5b72be4ed0685801b08bf39d9be7758d21ab0005
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.5_rm1/rainy_Building_2b_step35_bg0.5_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:795ae3d681fecd66f6b3eef3e51102b16760e48da1e1f7cab7cc10504f2d4ef3
+size 6987287
diff --git a/test/rainy/Building/2b_step35_bg0.5_rm1/rainy_Building_2b_step35_bg0.5_rm1.txt b/test/rainy/Building/2b_step35_bg0.5_rm1/rainy_Building_2b_step35_bg0.5_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..213c470aee0671b5a985429e153c07e4efd43cd3
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.5_rm1/rainy_Building_2b_step35_bg0.5_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.
\ No newline at end of file
diff --git a/test/rainy/Building/2b_step35_bg0.5_rm1/rainy_Building_2b_step35_bg0.5_rm1_control_edge.mp4 b/test/rainy/Building/2b_step35_bg0.5_rm1/rainy_Building_2b_step35_bg0.5_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..5fc5f4b057f706d7a54074ed1ded7dfa297ca3fb
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.5_rm1/rainy_Building_2b_step35_bg0.5_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c49968d42faa0f81106ab6e92fceb2d588c040f9c4603f3d5822f112aa2bddeb
+size 2200693
diff --git a/test/rainy/Building/2b_step35_bg0.5_rm1/spec.json b/test/rainy/Building/2b_step35_bg0.5_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..21ef46838eed6c84e9ac45a7094293a3e2461056
--- /dev/null
+++ b/test/rainy/Building/2b_step35_bg0.5_rm1/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "rainy_Building_2b_step35_bg0.5_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures."
+}
\ No newline at end of file
diff --git a/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/config.yaml b/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..de26615a19dfdb0e236186fd4db8082aa06f727e
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fb952a7f370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fb952a7f370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fb952a7f490>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7fb952a7fa30>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fb952a7f490>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7fb952a7fe20>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7fb957163a30>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7fb952b8c4c0>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/console.log b/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..a957506110fdc5e5d263c3ca2e0b4f42c7786010
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/console.log
@@ -0,0 +1,18 @@
+[06-21 17:46:47|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 17:46:47|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:46:56|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 17:46:56|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 17:46:58|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 17:46:58|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.1_rm0.5/config.yaml
+[06-21 17:46:58|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_Building_2b_step35_masked_bg0.1_rm0.5']
+[06-21 17:46:58|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_Building_2b_step35_masked_bg0.1_rm0.5
+[06-21 17:46:58|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.1_rm0.5/rainy_Building_2b_step35_masked_bg0.1_rm0.5.json
+[06-21 17:46:58|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 17:46:58|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/Building_mask.mp4', 'edge_mask_prompt': None}
+[06-21 17:57:30|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.1_rm0.5/rainy_Building_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4
+[06-21 17:57:30|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 17:57:32|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.1_rm0.5/rainy_Building_2b_step35_masked_bg0.1_rm0.5.mp4
diff --git a/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/debug.log b/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..8a5f40f69145990922bc5aeefc7100087217cae0
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/debug.log
@@ -0,0 +1,975 @@
+[06-21 17:46:24|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 17:46:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 17:46:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 17:46:44|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 17:46:45|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 17:46:45|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.1_rm0.5') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 17:46:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 17:46:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 17:46:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 17:46:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 17:46:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 17:46:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 17:46:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 17:46:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 17:46:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 17:46:46|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 17:46:46|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 17:46:46|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 17:46:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 17:46:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 17:46:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 17:46:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 17:46:46|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 17:46:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 17:46:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 17:46:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 17:46:46|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 17:46:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 17:46:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 17:46:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 17:46:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 17:46:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 17:46:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 17:46:46|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 17:46:46|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 17:46:46|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 17:46:46|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 17:46:47|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 17:46:47|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 17:46:47|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 17:46:47|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 1.09 s
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:46:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.08 s
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.84 s
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.10 s
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.10 s
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 17:46:52|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:46:56|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 17:46:56|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 17:46:56|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 17:46:56|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 9.96 s
+[06-21 17:46:56|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 17:46:56|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 17:46:57|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 17:46:58|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:46:58|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 17:46:58|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 17:46:58|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 17:46:58|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 17:46:58|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 17:46:58|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.1_rm0.5/config.yaml
+[06-21 17:46:58|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_Building_2b_step35_masked_bg0.1_rm0.5']
+[06-21 17:46:58|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_Building_2b_step35_masked_bg0.1_rm0.5
+[06-21 17:46:58|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='rainy_Building_2b_step35_masked_bg0.1_rm0.5' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4'), control_weight=1.0, mask_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/Building_mask.mp4'), mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 17:46:58|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.1_rm0.5/rainy_Building_2b_step35_masked_bg0.1_rm0.5.json
+[06-21 17:46:58|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 17:46:58|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/Building_mask.mp4', 'edge_mask_prompt': None}
+[06-21 17:46:58|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 17:46:58|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4
+[06-21 17:46:58|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 17:46:58|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 17:46:59|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 17:46:59|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 17:46:59|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 17:46:59|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 17:46:59|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4
+[06-21 17:46:59|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 176
+[06-21 17:46:59|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/Building_mask.mp4
+[06-21 17:46:59|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 17:46:59|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 17:46:59|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 17:46:59|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 17:46:59|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 17:46:59|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:46:59|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 17:46:59|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:47:17|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:52:24|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 17:52:24|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 17:52:24|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 17:52:24|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 17:52:24|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:52:24|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 17:52:24|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:52:27|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:57:29|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 313.9915293720551
+[06-21 17:57:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 17:57:30|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.1_rm0.5/rainy_Building_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4
+[06-21 17:57:30|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 17:57:30|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 17:57:32|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.1_rm0.5/rainy_Building_2b_step35_masked_bg0.1_rm0.5.mp4
diff --git a/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/rainy_Building_2b_step35_masked_bg0.1_rm0.5.json b/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/rainy_Building_2b_step35_masked_bg0.1_rm0.5.json
new file mode 100644
index 0000000000000000000000000000000000000000..60854cb4b0e4af474ea1d2a240b6701de6fe19b7
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/rainy_Building_2b_step35_masked_bg0.1_rm0.5.json
@@ -0,0 +1 @@
+{"name":"rainy_Building_2b_step35_masked_bg0.1_rm0.5","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4","control_weight":1.0,"mask_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/Building_mask.mp4","mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/rainy_Building_2b_step35_masked_bg0.1_rm0.5.mp4 b/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/rainy_Building_2b_step35_masked_bg0.1_rm0.5.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..753858ec3baeae943cfa34839f58a0acf7078636
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/rainy_Building_2b_step35_masked_bg0.1_rm0.5.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:871deb22c33fdacc4f26aebbaa07321f81260f538cd6d24020309f596baec7dc
+size 1772032
diff --git a/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/rainy_Building_2b_step35_masked_bg0.1_rm0.5.txt b/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/rainy_Building_2b_step35_masked_bg0.1_rm0.5.txt
new file mode 100644
index 0000000000000000000000000000000000000000..213c470aee0671b5a985429e153c07e4efd43cd3
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/rainy_Building_2b_step35_masked_bg0.1_rm0.5.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.
\ No newline at end of file
diff --git a/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/rainy_Building_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4 b/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/rainy_Building_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..1e3fdf83df724d46887a4db0ccbf64523b831f11
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/rainy_Building_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2daa4d0d626f944990f4d0367286b85b6a90438904edb6d808ccca374f9be20f
+size 1076029
diff --git a/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/spec.json b/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..22672907af1522ab3ca8f9511bb81b4c2259ee29
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.1_rm0.5/spec.json
@@ -0,0 +1,14 @@
+{
+  "name": "rainy_Building_2b_step35_masked_bg0.1_rm0.5",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4",
+    "control_weight": 1.0,
+    "mask_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/Building_mask.mp4"
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures."
+}
\ No newline at end of file
diff --git a/test/rainy/Building/2b_step35_masked_bg0.1_rm1/config.yaml b/test/rainy/Building/2b_step35_masked_bg0.1_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..7831e174b0ec8ffa8b2ff70a4b8fbc6c504031b3
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.1_rm1/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f847a0c7370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f847a0c7370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f847a0c7490>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f847a0c7a30>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f847a0c7490>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f847a0c7e20>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f847e7aba30>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f847a1c84c0>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/rainy/Building/2b_step35_masked_bg0.1_rm1/console.log b/test/rainy/Building/2b_step35_masked_bg0.1_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..300b3009568fba4cead0aa5bad3eb4f894e8d60d
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.1_rm1/console.log
@@ -0,0 +1,18 @@
+[06-21 17:59:09|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 17:59:09|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:59:34|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 17:59:34|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:59:38|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 17:59:38|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 17:59:40|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 17:59:40|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.1_rm1/config.yaml
+[06-21 17:59:40|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_Building_2b_step35_masked_bg0.1_rm1']
+[06-21 17:59:40|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_Building_2b_step35_masked_bg0.1_rm1
+[06-21 17:59:40|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.1_rm1/rainy_Building_2b_step35_masked_bg0.1_rm1.json
+[06-21 17:59:40|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 17:59:40|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/Building_mask.mp4', 'edge_mask_prompt': None}
+[06-21 18:10:22|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.1_rm1/rainy_Building_2b_step35_masked_bg0.1_rm1_control_edge.mp4
+[06-21 18:10:22|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 18:10:23|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.1_rm1/rainy_Building_2b_step35_masked_bg0.1_rm1.mp4
diff --git a/test/rainy/Building/2b_step35_masked_bg0.1_rm1/debug.log b/test/rainy/Building/2b_step35_masked_bg0.1_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..b4a9f66bdbc5a2210ff30eba4be882ee509535b7
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.1_rm1/debug.log
@@ -0,0 +1,975 @@
+[06-21 17:57:35|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 17:57:36|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 17:57:36|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 17:58:49|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 17:58:57|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 17:59:03|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.1_rm1') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 17:59:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 17:59:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 17:59:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 17:59:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 17:59:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 17:59:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 17:59:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 17:59:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 17:59:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 17:59:06|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 17:59:07|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 17:59:08|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 17:59:08|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 17:59:08|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 17:59:08|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 17:59:08|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 17:59:08|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 17:59:08|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 17:59:08|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 17:59:08|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 17:59:08|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 17:59:08|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 17:59:08|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 17:59:08|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 17:59:08|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 17:59:08|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 17:59:08|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 17:59:08|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 17:59:08|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 17:59:08|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 17:59:08|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 17:59:09|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 17:59:09|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 17:59:16|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 17:59:17|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 8.25 s
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:59:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:20|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:59:21|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 5.19 s
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 5.96 s
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 9.23 s
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 9.23 s
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 17:59:26|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:59:27|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 17:59:27|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 17:59:27|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 17:59:34|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 17:59:34|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 17:59:34|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:59:38|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 17:59:38|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 17:59:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 17:59:38|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 30.08 s
+[06-21 17:59:38|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 17:59:38|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 17:59:39|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 17:59:40|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:59:40|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 17:59:40|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 17:59:40|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 17:59:40|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 17:59:40|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 17:59:40|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.1_rm1/config.yaml
+[06-21 17:59:40|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_Building_2b_step35_masked_bg0.1_rm1']
+[06-21 17:59:40|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_Building_2b_step35_masked_bg0.1_rm1
+[06-21 17:59:40|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='rainy_Building_2b_step35_masked_bg0.1_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4'), control_weight=1.0, mask_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/Building_mask.mp4'), mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 17:59:40|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.1_rm1/rainy_Building_2b_step35_masked_bg0.1_rm1.json
+[06-21 17:59:40|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 17:59:40|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/Building_mask.mp4', 'edge_mask_prompt': None}
+[06-21 17:59:40|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 17:59:40|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4
+[06-21 17:59:43|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 17:59:44|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 17:59:51|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 17:59:51|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 17:59:51|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 17:59:51|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 17:59:51|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4
+[06-21 17:59:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 17:59:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/Building_mask.mp4
+[06-21 17:59:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 17:59:52|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 17:59:52|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 17:59:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 17:59:52|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 17:59:52|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:59:52|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 17:59:52|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 18:00:10|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 18:05:16|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 18:05:16|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 18:05:17|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 18:05:17|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 18:05:17|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 18:05:17|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 18:05:17|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 18:05:19|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 18:10:21|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 313.40509140794165
+[06-21 18:10:21|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 18:10:22|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.1_rm1/rainy_Building_2b_step35_masked_bg0.1_rm1_control_edge.mp4
+[06-21 18:10:22|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 18:10:22|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 18:10:23|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.1_rm1/rainy_Building_2b_step35_masked_bg0.1_rm1.mp4
diff --git a/test/rainy/Building/2b_step35_masked_bg0.1_rm1/rainy_Building_2b_step35_masked_bg0.1_rm1.json b/test/rainy/Building/2b_step35_masked_bg0.1_rm1/rainy_Building_2b_step35_masked_bg0.1_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..5ad5fef55e6eb614160097598925596a8aa1cf03
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.1_rm1/rainy_Building_2b_step35_masked_bg0.1_rm1.json
@@ -0,0 +1 @@
+{"name":"rainy_Building_2b_step35_masked_bg0.1_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4","control_weight":1.0,"mask_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/Building_mask.mp4","mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/rainy/Building/2b_step35_masked_bg0.1_rm1/rainy_Building_2b_step35_masked_bg0.1_rm1.mp4 b/test/rainy/Building/2b_step35_masked_bg0.1_rm1/rainy_Building_2b_step35_masked_bg0.1_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..a0fdcd2734fb8434825e32cd278a05d406d8611e
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.1_rm1/rainy_Building_2b_step35_masked_bg0.1_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f9024ee5875c84f49e57b6c08429506deafe64e897f36906aab05140c67de24f
+size 1989333
diff --git a/test/rainy/Building/2b_step35_masked_bg0.1_rm1/rainy_Building_2b_step35_masked_bg0.1_rm1.txt b/test/rainy/Building/2b_step35_masked_bg0.1_rm1/rainy_Building_2b_step35_masked_bg0.1_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..213c470aee0671b5a985429e153c07e4efd43cd3
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.1_rm1/rainy_Building_2b_step35_masked_bg0.1_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.
\ No newline at end of file
diff --git a/test/rainy/Building/2b_step35_masked_bg0.1_rm1/rainy_Building_2b_step35_masked_bg0.1_rm1_control_edge.mp4 b/test/rainy/Building/2b_step35_masked_bg0.1_rm1/rainy_Building_2b_step35_masked_bg0.1_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..661f05d3d84639390886cf08f68fccc8a521abbd
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.1_rm1/rainy_Building_2b_step35_masked_bg0.1_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4652cd6747cb16aa088fd9020af5cc1d755e71f2d3864adac7f14133197fad5c
+size 1330422
diff --git a/test/rainy/Building/2b_step35_masked_bg0.1_rm1/spec.json b/test/rainy/Building/2b_step35_masked_bg0.1_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..1e29bcd6032d409e3b5958a7fd297bfbb808b2c7
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.1_rm1/spec.json
@@ -0,0 +1,14 @@
+{
+  "name": "rainy_Building_2b_step35_masked_bg0.1_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4",
+    "control_weight": 1.0,
+    "mask_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/Building_mask.mp4"
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures."
+}
\ No newline at end of file
diff --git a/test/rainy/Building/2b_step35_masked_bg0.5_rm1/config.yaml b/test/rainy/Building/2b_step35_masked_bg0.5_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..09962d5e23551ab7cbcedca2207ec1c35edbcfed
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.5_rm1/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fdf759ef370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fdf759ef370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fdf759ef490>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7fdf759efa30>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fdf759ef490>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7fdf759efe20>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7fdf79edba30>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7fdf759184c0>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/rainy/Building/2b_step35_masked_bg0.5_rm1/console.log b/test/rainy/Building/2b_step35_masked_bg0.5_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..68d90398d6bf75ae4311af75964b8f5e89b7e98b
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.5_rm1/console.log
@@ -0,0 +1,18 @@
+[06-21 18:10:40|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 18:10:40|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 18:10:46|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 18:10:46|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 18:10:50|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 18:10:50|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 18:10:51|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 18:10:52|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.5_rm1/config.yaml
+[06-21 18:10:52|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_Building_2b_step35_masked_bg0.5_rm1']
+[06-21 18:10:52|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_Building_2b_step35_masked_bg0.5_rm1
+[06-21 18:10:52|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.5_rm1/rainy_Building_2b_step35_masked_bg0.5_rm1.json
+[06-21 18:10:52|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 18:10:52|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/Building_mask.mp4', 'edge_mask_prompt': None}
+[06-21 18:21:29|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.5_rm1/rainy_Building_2b_step35_masked_bg0.5_rm1_control_edge.mp4
+[06-21 18:21:29|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 18:21:30|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.5_rm1/rainy_Building_2b_step35_masked_bg0.5_rm1.mp4
diff --git a/test/rainy/Building/2b_step35_masked_bg0.5_rm1/debug.log b/test/rainy/Building/2b_step35_masked_bg0.5_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..94fde7aa34eb2a26a9311f4f2aba9720a9befbcd
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.5_rm1/debug.log
@@ -0,0 +1,975 @@
+[06-21 18:10:26|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 18:10:27|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 18:10:27|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 18:10:38|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 18:10:38|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 18:10:39|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.5_rm1') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 18:10:39|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 18:10:39|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 18:10:39|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 18:10:39|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 18:10:39|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 18:10:39|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 18:10:39|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 18:10:39|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 18:10:39|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 18:10:39|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 18:10:39|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 18:10:39|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 18:10:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 18:10:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 18:10:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 18:10:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 18:10:39|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 18:10:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 18:10:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 18:10:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 18:10:39|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 18:10:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 18:10:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 18:10:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 18:10:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 18:10:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 18:10:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 18:10:40|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 18:10:40|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 18:10:40|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 18:10:40|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 18:10:40|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 18:10:40|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 18:10:41|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 18:10:41|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 1.13 s
+[06-21 18:10:44|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 18:10:44|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 18:10:44|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 18:10:44|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 18:10:44|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 18:10:44|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 18:10:44|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 18:10:44|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 18:10:44|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 18:10:44|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 18:10:44|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 18:10:44|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 18:10:44|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 18:10:44|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 18:10:44|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 18:10:44|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:44|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.07 s
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.83 s
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.12 s
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.12 s
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 18:10:45|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 18:10:46|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 18:10:46|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 18:10:46|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 18:10:46|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 18:10:46|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 18:10:46|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 18:10:50|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 18:10:50|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 18:10:50|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 18:10:50|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 10.01 s
+[06-21 18:10:50|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 18:10:50|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 18:10:50|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 18:10:51|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 18:10:51|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 18:10:51|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 18:10:51|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 18:10:51|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 18:10:51|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 18:10:52|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.5_rm1/config.yaml
+[06-21 18:10:52|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_Building_2b_step35_masked_bg0.5_rm1']
+[06-21 18:10:52|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_Building_2b_step35_masked_bg0.5_rm1
+[06-21 18:10:52|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='rainy_Building_2b_step35_masked_bg0.5_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4'), control_weight=1.0, mask_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/Building_mask.mp4'), mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 18:10:52|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.5_rm1/rainy_Building_2b_step35_masked_bg0.5_rm1.json
+[06-21 18:10:52|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 18:10:52|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/Building_mask.mp4', 'edge_mask_prompt': None}
+[06-21 18:10:52|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 18:10:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4
+[06-21 18:10:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 18:10:52|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 18:10:52|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 18:10:52|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 18:10:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 18:10:52|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 18:10:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4
+[06-21 18:10:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 18:10:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/Building_mask.mp4
+[06-21 18:10:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 18:10:52|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 18:10:52|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 18:10:53|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 18:10:53|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 18:10:53|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 18:10:53|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 18:10:53|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 18:11:11|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 18:16:20|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 18:16:20|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 18:16:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 18:16:21|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 18:16:21|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 18:16:21|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 18:16:21|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 18:16:23|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 18:21:26|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 315.8466118169017
+[06-21 18:21:27|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 18:21:29|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.5_rm1/rainy_Building_2b_step35_masked_bg0.5_rm1_control_edge.mp4
+[06-21 18:21:29|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 18:21:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 18:21:30|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/2b_step35_masked_bg0.5_rm1/rainy_Building_2b_step35_masked_bg0.5_rm1.mp4
diff --git a/test/rainy/Building/2b_step35_masked_bg0.5_rm1/rainy_Building_2b_step35_masked_bg0.5_rm1.json b/test/rainy/Building/2b_step35_masked_bg0.5_rm1/rainy_Building_2b_step35_masked_bg0.5_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..7f39605f793e10d68e90b627f5f77a7e347c34fd
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.5_rm1/rainy_Building_2b_step35_masked_bg0.5_rm1.json
@@ -0,0 +1 @@
+{"name":"rainy_Building_2b_step35_masked_bg0.5_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4","control_weight":1.0,"mask_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/Building_mask.mp4","mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/rainy/Building/2b_step35_masked_bg0.5_rm1/rainy_Building_2b_step35_masked_bg0.5_rm1.mp4 b/test/rainy/Building/2b_step35_masked_bg0.5_rm1/rainy_Building_2b_step35_masked_bg0.5_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..1c686cdb6e2c3da61df8c867f90522a448b26af4
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.5_rm1/rainy_Building_2b_step35_masked_bg0.5_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4feeb1b228d41c0afc56c0f04fcb8faffe4273155167ab2007be3bca1cf687c9
+size 2158600
diff --git a/test/rainy/Building/2b_step35_masked_bg0.5_rm1/rainy_Building_2b_step35_masked_bg0.5_rm1.txt b/test/rainy/Building/2b_step35_masked_bg0.5_rm1/rainy_Building_2b_step35_masked_bg0.5_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..213c470aee0671b5a985429e153c07e4efd43cd3
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.5_rm1/rainy_Building_2b_step35_masked_bg0.5_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.
\ No newline at end of file
diff --git a/test/rainy/Building/2b_step35_masked_bg0.5_rm1/rainy_Building_2b_step35_masked_bg0.5_rm1_control_edge.mp4 b/test/rainy/Building/2b_step35_masked_bg0.5_rm1/rainy_Building_2b_step35_masked_bg0.5_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..b9c8b1639dd4bb87fbb62c607b04c3c10bc6fe35
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.5_rm1/rainy_Building_2b_step35_masked_bg0.5_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ccc17ad8d0fcf8b7eb0dbca809b11fd46d91ffb5fedcf75e938a67ecad824c4
+size 1334068
diff --git a/test/rainy/Building/2b_step35_masked_bg0.5_rm1/spec.json b/test/rainy/Building/2b_step35_masked_bg0.5_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..dbbd06a86eb12e7c1fd1e7dfbd1ef5e242904e88
--- /dev/null
+++ b/test/rainy/Building/2b_step35_masked_bg0.5_rm1/spec.json
@@ -0,0 +1,14 @@
+{
+  "name": "rainy_Building_2b_step35_masked_bg0.5_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4",
+    "control_weight": 1.0,
+    "mask_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/Building_mask.mp4"
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures."
+}
\ No newline at end of file
diff --git a/test/rainy/Building/distilled_step4_bg0.1_rm0.5/config.yaml b/test/rainy/Building/distilled_step4_bg0.1_rm0.5/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ff4470f323e0ba016001d19201174fae73ef55ed
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.1_rm0.5/config.yaml
@@ -0,0 +1,956 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: ''
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '500'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'True'
+  type:
+    _target_: <class 'cosmos_transfer2._src.interactive.checkpointer.dcp_distill.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fdda7b5add0>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7fdda7b5af80>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fdda7b5add0>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7fdda7b5b2e0>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val: null
+defaults:
+- _self_
+- data_train: null
+- data_val: null
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- callbacks: basic
+- model: ddp
+- net: null
+- net_fake_score: null
+- net_teacher: null
+- net_discriminator_head: null
+- conditioner: video_prediction_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dcp_distill
+- condition_postprocessor: null
+- experiment: null
+job:
+  cluster: null
+  group: cosmos3_interactive
+  name: dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge
+  project: cosmos_interactive
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.interactive.methods.distribution_matching.dmd2.DMD2Model'>
+  config:
+    base_load_from: null
+    condition_postprocessor:
+      _target_: <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>
+      hint_keys:
+      - edge
+    conditional_frames_probs:
+      0: 0.6
+      1: 0.2
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditioner'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    grad_clip: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    intermediate_feature_ids: null
+    load_teacher_weights: false
+    loss_reduce: mean
+    loss_scale_GAN_discriminator: 1.0
+    loss_scale_GAN_generator: 1.0
+    loss_scale_fake_score: 1.0
+    loss_scale_sid: 1.0
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    multiply_noise_by_video_len: true
+    neg_embed_path: ''
+    neg_prompt_str: The video captures a game playing, with bad crappy graphics and
+      cartoonish frames. It represents a recording of old outdated games. The lighting
+      looks very fake. The textures are very raw and basic. The geometries are very
+      primitive. The images are very pixelated and of poor CG quality. There are many
+      subtitles in the footage. Overall, the video is unrealistic at all.
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_discriminator_head: null
+    net_fake_score:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_teacher:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    noise_level_parameterization: trigflow
+    optimizer_discriminator_config:
+      _target_: <function get_base_optimizer at 0x7fddf9089cf0>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    optimizer_fake_score_config:
+      _target_: <function get_base_optimizer at 0x7fddf9089cf0>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    precision: bfloat16
+    rectified_flow_loss_weight_uniform: false
+    rectified_flow_t_scaling_factor: 1.0
+    replace_cond_output_with_gt: true
+    resolution: '720'
+    scaling: rectified_flow
+    sde:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '-0.8'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    sde_D:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '0.0'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    selected_sampling_time:
+    - 1.5707963267948966
+    - 1.5042281630190728
+    - 1.373400766945016
+    - 1.0303768265243125
+    sigma_conditional: 0.0001
+    sigma_data: 1.0
+    state_ch: 16
+    state_t: 24
+    student_load_from: null
+    student_update_freq: 5
+    teacher_guidance: 3.0
+    teacher_load_from:
+      credentials: credentials/s3_checkpoint.secret
+      load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_nonuniform_hqv3p1_20250714_64N_rectified_flow/checkpoints/iter_000029000/model
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7fddfd72b9a0>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    timestep_shift: 5.0
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+    use_clean_cond_timesteps: true
+    use_neg_prompt_str: false
+    use_torch_compile: false
+    vis_debug: false
+    warmup_steps: 1
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 4
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7fddf9089cf0>
+  betas:
+  - '0.9'
+  - '0.999'
+  capturable: 'True'
+  eps: 1e-08
+  lr: 1e-06
+  master_weights: 'True'
+  model: null
+  optim_type: fusedadam
+  weight_decay: '0.01'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '400000'
+  f_max:
+  - '0.99'
+  f_min:
+  - '0.4'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '10'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'True'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'False'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '1.0'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '10'
+      hit_thres: '100'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '5'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '10'
+  max_iter: '30000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'False'
+    max_diff: '2.0'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.interactive.trainer.trainer_distillation.ImaginaireDistillationTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/rainy/Building/distilled_step4_bg0.1_rm0.5/console.log b/test/rainy/Building/distilled_step4_bg0.1_rm0.5/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..c9ee8c0be1aa37cdf2246bb7fde2a533e8c68adc
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.1_rm0.5/console.log
@@ -0,0 +1,22 @@
+[06-21 17:06:13|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 17:06:13|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 17:06:14|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 17:06:14|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:06:15|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 17:06:15|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:06:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 17:06:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 17:06:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 17:06:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 17:06:52|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 17:06:52|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 17:06:52|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.1_rm0.5/config.yaml
+[06-21 17:06:52|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_Building_distilled_step4_bg0.1_rm0.5']
+[06-21 17:06:52|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_Building_distilled_step4_bg0.1_rm0.5
+[06-21 17:06:52|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.1_rm0.5/rainy_Building_distilled_step4_bg0.1_rm0.5.json
+[06-21 17:06:52|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 17:06:52|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 17:08:02|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 17:08:03|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.1_rm0.5/rainy_Building_distilled_step4_bg0.1_rm0.5_control_edge.mp4
+[06-21 17:08:03|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 17:08:04|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.1_rm0.5/rainy_Building_distilled_step4_bg0.1_rm0.5.mp4
diff --git a/test/rainy/Building/distilled_step4_bg0.1_rm0.5/debug.log b/test/rainy/Building/distilled_step4_bg0.1_rm0.5/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..0f5cdb3eb30b591efab84c7c1f06de510aaa40b2
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.1_rm0.5/debug.log
@@ -0,0 +1,1484 @@
+[06-21 17:05:56|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=True)
+[06-21 17:05:58|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 17:05:58|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 17:06:11|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 17:06:11|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 17:06:11|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.1_rm0.5') model='edge/distilled' checkpoint_path='s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000' experiment='dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge' config_file='cosmos_transfer2/_src/interactive/configs/registry_transfer2p5.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 17:06:12|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 17:06:12|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 17:06:12|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 17:06:12|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 17:06:12|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 17:06:12|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 17:06:12|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 17:06:12|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 17:06:12|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 17:06:12|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 17:06:12|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 17:06:12|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.interactive.configs.registry_experiment
+[06-21 17:06:12|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiment_list
+[06-21 17:06:12|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_ac_predict2p5
+[06-21 17:06:13|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 17:06:13|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 17:06:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_predict2p5
+[06-21 17:06:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_transfer2p5
+[06-21 17:06:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_knowledge_distill_ac_predict2p5
+[06-21 17:06:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_self_forcing_ac_predict2p5
+[06-21 17:06:14|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 17:06:14|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:81:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000
+[06-21 17:06:14|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:109:load_model_from_checkpoint] Setting load_teacher_weights=False for inference to skip teacher checkpoint download
+[06-21 17:06:14|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:94:__init__] Setting precision to torch.bfloat16
+[06-21 17:06:14|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 17:06:14|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 17:06:14|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:06:15|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 17:06:15|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 17:06:15|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 17:06:15|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 17:06:15|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 17:06:15|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:06:24|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 17:06:24|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 17:06:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 17:06:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 17:06:25|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.80 s
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:231:build_model] 
+
+==============config condition_postprocessor: {'hint_keys': ['edge'], '_target_': <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>}
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:232:build_model] 
+
+==============condition_postprocessor: <cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor object at 0x7fdda713b940>
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_model: 12.43 s
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:06:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.64 s
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:06:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.64 s
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:86:build_model] ==========Instantiating networks...==========
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:87:build_model] net: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:88:build_model] net_teacher: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:89:build_model] net_fake_score: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:128:build_model] Freezing the CR1 embedding projection layer in student net..
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:132:build_model] Freezing the CR1 embedding projection layer in fake score net..
+[06-21 17:06:27|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:135:build_model] Freezing teacher net..
+[06-21 17:06:28|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:119:setup_loss_specs] Using mean loss reduce with loss scale 1.0
+[06-21 17:06:28|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 13.89 s
+[06-21 17:06:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 17:06:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 17:06:28|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:214:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/bbaeedb2b57cc8b14a44653099e2551adb69dcc7/distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 17:06:52|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:173:_process_pt_state_dict_for_ema] Loading EMA-exported checkpoint with net.* keys directly
+[06-21 17:06:52|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:408:load_state_dict] load model in non-strict mode
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:06:52|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:409:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 17:06:52|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:819:load_state_dict] load fake score model in non-strict mode
+[06-21 17:06:52|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:820:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['accum_video_sample_counter', 'accum_image_sample_counter', 'accum_iteration', 'accum_train_in_hours', 'x_embedder.proj.1.weight', 'pos_embedder.seq', 'pos_embedder.dim_spatial_range', 'pos_embedder.dim_temporal_range', 't_embedder.1.linear_1.weight', 't_embedder.1.linear_2.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.linear.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.1.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.2.weight', 't_embedding_norm.weight', 'crossattn_proj.0.weight', 'crossattn_proj.0.bias', 'control_embedder.proj.1.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.bias'], unexpected_keys=[], incorrect_shapes=[])
+[06-21 17:06:52|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 17:06:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 17:06:52|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 17:06:52|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.1_rm0.5/config.yaml
+[06-21 17:06:52|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_Building_distilled_step4_bg0.1_rm0.5']
+[06-21 17:06:52|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_Building_distilled_step4_bg0.1_rm0.5
+[06-21 17:06:52|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='rainy_Building_distilled_step4_bg0.1_rm0.5' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=4 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 17:06:52|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.1_rm0.5/rainy_Building_distilled_step4_bg0.1_rm0.5.json
+[06-21 17:06:52|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 17:06:52|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 17:06:52|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 17:06:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4
+[06-21 17:06:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 17:06:53|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 17:06:53|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 17:06:53|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 17:06:53|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 17:06:53|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4
+[06-21 17:06:53|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 176
+[06-21 17:06:53|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 17:06:53|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 17:07:33|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 17:07:34|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 17:08:02|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 33.32103759062011
+[06-21 17:08:02|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 17:08:02|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 17:08:03|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.1_rm0.5/rainy_Building_distilled_step4_bg0.1_rm0.5_control_edge.mp4
+[06-21 17:08:03|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 17:08:03|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 17:08:04|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.1_rm0.5/rainy_Building_distilled_step4_bg0.1_rm0.5.mp4
diff --git a/test/rainy/Building/distilled_step4_bg0.1_rm0.5/rainy_Building_distilled_step4_bg0.1_rm0.5.json b/test/rainy/Building/distilled_step4_bg0.1_rm0.5/rainy_Building_distilled_step4_bg0.1_rm0.5.json
new file mode 100644
index 0000000000000000000000000000000000000000..1e60c06ab7a6d1fa47ecd39f4033fe77d3932ff3
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.1_rm0.5/rainy_Building_distilled_step4_bg0.1_rm0.5.json
@@ -0,0 +1 @@
+{"name":"rainy_Building_distilled_step4_bg0.1_rm0.5","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":4,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/rainy/Building/distilled_step4_bg0.1_rm0.5/rainy_Building_distilled_step4_bg0.1_rm0.5.mp4 b/test/rainy/Building/distilled_step4_bg0.1_rm0.5/rainy_Building_distilled_step4_bg0.1_rm0.5.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..d3850b8e6968576779f0ecd48e4889c116b0c997
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.1_rm0.5/rainy_Building_distilled_step4_bg0.1_rm0.5.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:27c3787109a281e8b4d0b2e4df7f4baf76c66795ecd5429018c921b2dc179f07
+size 2228255
diff --git a/test/rainy/Building/distilled_step4_bg0.1_rm0.5/rainy_Building_distilled_step4_bg0.1_rm0.5.txt b/test/rainy/Building/distilled_step4_bg0.1_rm0.5/rainy_Building_distilled_step4_bg0.1_rm0.5.txt
new file mode 100644
index 0000000000000000000000000000000000000000..213c470aee0671b5a985429e153c07e4efd43cd3
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.1_rm0.5/rainy_Building_distilled_step4_bg0.1_rm0.5.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.
\ No newline at end of file
diff --git a/test/rainy/Building/distilled_step4_bg0.1_rm0.5/rainy_Building_distilled_step4_bg0.1_rm0.5_control_edge.mp4 b/test/rainy/Building/distilled_step4_bg0.1_rm0.5/rainy_Building_distilled_step4_bg0.1_rm0.5_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..0efd7167248d6dc726173bc526b89fbe81ff601c
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.1_rm0.5/rainy_Building_distilled_step4_bg0.1_rm0.5_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7485b050e777b96bed1aa6964ab1403dcc5f780868ddb049bf7c86e10fb761ef
+size 1676430
diff --git a/test/rainy/Building/distilled_step4_bg0.1_rm0.5/spec.json b/test/rainy/Building/distilled_step4_bg0.1_rm0.5/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..d652538b44b87b5b6e60d87e31cd367b33bfb900
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.1_rm0.5/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "rainy_Building_distilled_step4_bg0.1_rm0.5",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 4,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures."
+}
\ No newline at end of file
diff --git a/test/rainy/Building/distilled_step4_bg0.1_rm1/config.yaml b/test/rainy/Building/distilled_step4_bg0.1_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ac479f4044ec7828889be02526b4190d34c65d4b
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.1_rm1/config.yaml
@@ -0,0 +1,956 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: ''
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '500'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'True'
+  type:
+    _target_: <class 'cosmos_transfer2._src.interactive.checkpointer.dcp_distill.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f8be4c62d40>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f8be4c62ef0>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f8be4c62d40>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f8be4c63250>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val: null
+defaults:
+- _self_
+- data_train: null
+- data_val: null
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- callbacks: basic
+- model: ddp
+- net: null
+- net_fake_score: null
+- net_teacher: null
+- net_discriminator_head: null
+- conditioner: video_prediction_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dcp_distill
+- condition_postprocessor: null
+- experiment: null
+job:
+  cluster: null
+  group: cosmos3_interactive
+  name: dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge
+  project: cosmos_interactive
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.interactive.methods.distribution_matching.dmd2.DMD2Model'>
+  config:
+    base_load_from: null
+    condition_postprocessor:
+      _target_: <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>
+      hint_keys:
+      - edge
+    conditional_frames_probs:
+      0: 0.6
+      1: 0.2
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditioner'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    grad_clip: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    intermediate_feature_ids: null
+    load_teacher_weights: false
+    loss_reduce: mean
+    loss_scale_GAN_discriminator: 1.0
+    loss_scale_GAN_generator: 1.0
+    loss_scale_fake_score: 1.0
+    loss_scale_sid: 1.0
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    multiply_noise_by_video_len: true
+    neg_embed_path: ''
+    neg_prompt_str: The video captures a game playing, with bad crappy graphics and
+      cartoonish frames. It represents a recording of old outdated games. The lighting
+      looks very fake. The textures are very raw and basic. The geometries are very
+      primitive. The images are very pixelated and of poor CG quality. There are many
+      subtitles in the footage. Overall, the video is unrealistic at all.
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_discriminator_head: null
+    net_fake_score:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_teacher:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    noise_level_parameterization: trigflow
+    optimizer_discriminator_config:
+      _target_: <function get_base_optimizer at 0x7f8c3618dc60>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    optimizer_fake_score_config:
+      _target_: <function get_base_optimizer at 0x7f8c3618dc60>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    precision: bfloat16
+    rectified_flow_loss_weight_uniform: false
+    rectified_flow_t_scaling_factor: 1.0
+    replace_cond_output_with_gt: true
+    resolution: '720'
+    scaling: rectified_flow
+    sde:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '-0.8'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    sde_D:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '0.0'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    selected_sampling_time:
+    - 1.5707963267948966
+    - 1.5042281630190728
+    - 1.373400766945016
+    - 1.0303768265243125
+    sigma_conditional: 0.0001
+    sigma_data: 1.0
+    state_ch: 16
+    state_t: 24
+    student_load_from: null
+    student_update_freq: 5
+    teacher_guidance: 3.0
+    teacher_load_from:
+      credentials: credentials/s3_checkpoint.secret
+      load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_nonuniform_hqv3p1_20250714_64N_rectified_flow/checkpoints/iter_000029000/model
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f8c3a82f910>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    timestep_shift: 5.0
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+    use_clean_cond_timesteps: true
+    use_neg_prompt_str: false
+    use_torch_compile: false
+    vis_debug: false
+    warmup_steps: 1
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 4
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f8c3618dc60>
+  betas:
+  - '0.9'
+  - '0.999'
+  capturable: 'True'
+  eps: 1e-08
+  lr: 1e-06
+  master_weights: 'True'
+  model: null
+  optim_type: fusedadam
+  weight_decay: '0.01'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '400000'
+  f_max:
+  - '0.99'
+  f_min:
+  - '0.4'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '10'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'True'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'False'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '1.0'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '10'
+      hit_thres: '100'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '5'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '10'
+  max_iter: '30000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'False'
+    max_diff: '2.0'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.interactive.trainer.trainer_distillation.ImaginaireDistillationTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/rainy/Building/distilled_step4_bg0.1_rm1/console.log b/test/rainy/Building/distilled_step4_bg0.1_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..ce04d93a47cdc2d1f1203675a08acf58939063d3
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.1_rm1/console.log
@@ -0,0 +1,22 @@
+[06-21 17:08:20|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 17:08:20|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 17:08:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 17:08:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:08:22|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 17:08:22|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:08:26|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 17:08:26|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 17:08:29|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 17:08:29|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 17:08:30|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 17:08:30|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 17:08:30|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.1_rm1/config.yaml
+[06-21 17:08:30|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_Building_distilled_step4_bg0.1_rm1']
+[06-21 17:08:30|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_Building_distilled_step4_bg0.1_rm1
+[06-21 17:08:30|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.1_rm1/rainy_Building_distilled_step4_bg0.1_rm1.json
+[06-21 17:08:30|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 17:08:30|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 17:09:36|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 17:09:37|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.1_rm1/rainy_Building_distilled_step4_bg0.1_rm1_control_edge.mp4
+[06-21 17:09:37|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 17:09:39|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.1_rm1/rainy_Building_distilled_step4_bg0.1_rm1.mp4
diff --git a/test/rainy/Building/distilled_step4_bg0.1_rm1/debug.log b/test/rainy/Building/distilled_step4_bg0.1_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..cfbd8d0bb383777be7f7f2b1b1ec97438b8e43d2
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.1_rm1/debug.log
@@ -0,0 +1,1484 @@
+[06-21 17:08:07|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=True)
+[06-21 17:08:08|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 17:08:08|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 17:08:19|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 17:08:19|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 17:08:20|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.1_rm1') model='edge/distilled' checkpoint_path='s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000' experiment='dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge' config_file='cosmos_transfer2/_src/interactive/configs/registry_transfer2p5.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 17:08:20|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 17:08:20|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 17:08:20|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 17:08:20|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 17:08:20|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 17:08:20|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 17:08:20|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 17:08:20|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 17:08:20|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 17:08:20|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 17:08:20|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 17:08:20|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.interactive.configs.registry_experiment
+[06-21 17:08:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiment_list
+[06-21 17:08:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_ac_predict2p5
+[06-21 17:08:20|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 17:08:20|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 17:08:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_predict2p5
+[06-21 17:08:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_transfer2p5
+[06-21 17:08:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_knowledge_distill_ac_predict2p5
+[06-21 17:08:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_self_forcing_ac_predict2p5
+[06-21 17:08:21|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 17:08:21|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:81:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000
+[06-21 17:08:21|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:109:load_model_from_checkpoint] Setting load_teacher_weights=False for inference to skip teacher checkpoint download
+[06-21 17:08:21|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:94:__init__] Setting precision to torch.bfloat16
+[06-21 17:08:21|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 17:08:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 17:08:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:08:22|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 17:08:22|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 17:08:22|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 17:08:22|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 17:08:22|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 17:08:22|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:08:26|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 17:08:26|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 17:08:26|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 17:08:26|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.65 s
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:231:build_model] 
+
+==============config condition_postprocessor: {'hint_keys': ['edge'], '_target_': <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>}
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:232:build_model] 
+
+==============condition_postprocessor: <cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor object at 0x7f8be4a60d90>
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_model: 6.45 s
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:08:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.64 s
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:08:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.64 s
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:86:build_model] ==========Instantiating networks...==========
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:87:build_model] net: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:88:build_model] net_teacher: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:89:build_model] net_fake_score: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:128:build_model] Freezing the CR1 embedding projection layer in student net..
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:132:build_model] Freezing the CR1 embedding projection layer in fake score net..
+[06-21 17:08:28|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:135:build_model] Freezing teacher net..
+[06-21 17:08:28|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:119:setup_loss_specs] Using mean loss reduce with loss scale 1.0
+[06-21 17:08:29|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 7.79 s
+[06-21 17:08:29|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 17:08:29|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 17:08:29|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:214:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/bbaeedb2b57cc8b14a44653099e2551adb69dcc7/distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 17:08:30|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:173:_process_pt_state_dict_for_ema] Loading EMA-exported checkpoint with net.* keys directly
+[06-21 17:08:30|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:408:load_state_dict] load model in non-strict mode
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:08:30|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:409:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 17:08:30|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:819:load_state_dict] load fake score model in non-strict mode
+[06-21 17:08:30|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:820:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['accum_video_sample_counter', 'accum_image_sample_counter', 'accum_iteration', 'accum_train_in_hours', 'x_embedder.proj.1.weight', 'pos_embedder.seq', 'pos_embedder.dim_spatial_range', 'pos_embedder.dim_temporal_range', 't_embedder.1.linear_1.weight', 't_embedder.1.linear_2.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.linear.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.1.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.2.weight', 't_embedding_norm.weight', 'crossattn_proj.0.weight', 'crossattn_proj.0.bias', 'control_embedder.proj.1.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.bias'], unexpected_keys=[], incorrect_shapes=[])
+[06-21 17:08:30|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 17:08:30|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 17:08:30|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 17:08:30|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.1_rm1/config.yaml
+[06-21 17:08:30|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_Building_distilled_step4_bg0.1_rm1']
+[06-21 17:08:30|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_Building_distilled_step4_bg0.1_rm1
+[06-21 17:08:30|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='rainy_Building_distilled_step4_bg0.1_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=4 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 17:08:30|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.1_rm1/rainy_Building_distilled_step4_bg0.1_rm1.json
+[06-21 17:08:30|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 17:08:30|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 17:08:30|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 17:08:30|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4
+[06-21 17:08:30|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 17:08:30|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 17:08:30|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 17:08:30|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 17:08:30|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 17:08:30|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4
+[06-21 17:08:31|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 17:08:31|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 17:08:31|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 17:09:08|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 17:09:08|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 17:09:36|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 31.734097709995694
+[06-21 17:09:36|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 17:09:36|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 17:09:37|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.1_rm1/rainy_Building_distilled_step4_bg0.1_rm1_control_edge.mp4
+[06-21 17:09:37|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 17:09:38|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 17:09:39|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.1_rm1/rainy_Building_distilled_step4_bg0.1_rm1.mp4
diff --git a/test/rainy/Building/distilled_step4_bg0.1_rm1/rainy_Building_distilled_step4_bg0.1_rm1.json b/test/rainy/Building/distilled_step4_bg0.1_rm1/rainy_Building_distilled_step4_bg0.1_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..0e1fc86c2ca1f03e95c80081dd55c78904043abd
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.1_rm1/rainy_Building_distilled_step4_bg0.1_rm1.json
@@ -0,0 +1 @@
+{"name":"rainy_Building_distilled_step4_bg0.1_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":4,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/rainy/Building/distilled_step4_bg0.1_rm1/rainy_Building_distilled_step4_bg0.1_rm1.mp4 b/test/rainy/Building/distilled_step4_bg0.1_rm1/rainy_Building_distilled_step4_bg0.1_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..96e7983407dfb9a8680dbcf269ceb53412b19015
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.1_rm1/rainy_Building_distilled_step4_bg0.1_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3eb80825fe9ff6bfe5a72d283ccf8723b5b0bc6d4ad40f5aa3f22a7119bcfce1
+size 4298811
diff --git a/test/rainy/Building/distilled_step4_bg0.1_rm1/rainy_Building_distilled_step4_bg0.1_rm1.txt b/test/rainy/Building/distilled_step4_bg0.1_rm1/rainy_Building_distilled_step4_bg0.1_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..213c470aee0671b5a985429e153c07e4efd43cd3
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.1_rm1/rainy_Building_distilled_step4_bg0.1_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.
\ No newline at end of file
diff --git a/test/rainy/Building/distilled_step4_bg0.1_rm1/rainy_Building_distilled_step4_bg0.1_rm1_control_edge.mp4 b/test/rainy/Building/distilled_step4_bg0.1_rm1/rainy_Building_distilled_step4_bg0.1_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..3d26387ac3b10e58e0ccf5d217c25453be731eef
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.1_rm1/rainy_Building_distilled_step4_bg0.1_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dc0a0df691bf27491874ae8aa19c94186b1824969467acc8e5ec0befdad2d3db
+size 2163198
diff --git a/test/rainy/Building/distilled_step4_bg0.1_rm1/spec.json b/test/rainy/Building/distilled_step4_bg0.1_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..3ad99b5ac77ce9a0ee7b800716543e081101b762
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.1_rm1/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "rainy_Building_distilled_step4_bg0.1_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 4,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures."
+}
\ No newline at end of file
diff --git a/test/rainy/Building/distilled_step4_bg0.5_rm1/config.yaml b/test/rainy/Building/distilled_step4_bg0.5_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d63f330d908c2fb2cd9c5b42e57656be86bea405
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.5_rm1/config.yaml
@@ -0,0 +1,956 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: ''
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '500'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'True'
+  type:
+    _target_: <class 'cosmos_transfer2._src.interactive.checkpointer.dcp_distill.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f5a551b6dd0>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f5a551b6f80>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f5a551b6dd0>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f5a551b72e0>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val: null
+defaults:
+- _self_
+- data_train: null
+- data_val: null
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- callbacks: basic
+- model: ddp
+- net: null
+- net_fake_score: null
+- net_teacher: null
+- net_discriminator_head: null
+- conditioner: video_prediction_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dcp_distill
+- condition_postprocessor: null
+- experiment: null
+job:
+  cluster: null
+  group: cosmos3_interactive
+  name: dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge
+  project: cosmos_interactive
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.interactive.methods.distribution_matching.dmd2.DMD2Model'>
+  config:
+    base_load_from: null
+    condition_postprocessor:
+      _target_: <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>
+      hint_keys:
+      - edge
+    conditional_frames_probs:
+      0: 0.6
+      1: 0.2
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditioner'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    grad_clip: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    intermediate_feature_ids: null
+    load_teacher_weights: false
+    loss_reduce: mean
+    loss_scale_GAN_discriminator: 1.0
+    loss_scale_GAN_generator: 1.0
+    loss_scale_fake_score: 1.0
+    loss_scale_sid: 1.0
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    multiply_noise_by_video_len: true
+    neg_embed_path: ''
+    neg_prompt_str: The video captures a game playing, with bad crappy graphics and
+      cartoonish frames. It represents a recording of old outdated games. The lighting
+      looks very fake. The textures are very raw and basic. The geometries are very
+      primitive. The images are very pixelated and of poor CG quality. There are many
+      subtitles in the footage. Overall, the video is unrealistic at all.
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_discriminator_head: null
+    net_fake_score:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_teacher:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    noise_level_parameterization: trigflow
+    optimizer_discriminator_config:
+      _target_: <function get_base_optimizer at 0x7f5aa66e1cf0>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    optimizer_fake_score_config:
+      _target_: <function get_base_optimizer at 0x7f5aa66e1cf0>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    precision: bfloat16
+    rectified_flow_loss_weight_uniform: false
+    rectified_flow_t_scaling_factor: 1.0
+    replace_cond_output_with_gt: true
+    resolution: '720'
+    scaling: rectified_flow
+    sde:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '-0.8'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    sde_D:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '0.0'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    selected_sampling_time:
+    - 1.5707963267948966
+    - 1.5042281630190728
+    - 1.373400766945016
+    - 1.0303768265243125
+    sigma_conditional: 0.0001
+    sigma_data: 1.0
+    state_ch: 16
+    state_t: 24
+    student_load_from: null
+    student_update_freq: 5
+    teacher_guidance: 3.0
+    teacher_load_from:
+      credentials: credentials/s3_checkpoint.secret
+      load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_nonuniform_hqv3p1_20250714_64N_rectified_flow/checkpoints/iter_000029000/model
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f5aaad7f9a0>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    timestep_shift: 5.0
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+    use_clean_cond_timesteps: true
+    use_neg_prompt_str: false
+    use_torch_compile: false
+    vis_debug: false
+    warmup_steps: 1
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 4
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f5aa66e1cf0>
+  betas:
+  - '0.9'
+  - '0.999'
+  capturable: 'True'
+  eps: 1e-08
+  lr: 1e-06
+  master_weights: 'True'
+  model: null
+  optim_type: fusedadam
+  weight_decay: '0.01'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '400000'
+  f_max:
+  - '0.99'
+  f_min:
+  - '0.4'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '10'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'True'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'False'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '1.0'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '10'
+      hit_thres: '100'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '5'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '10'
+  max_iter: '30000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'False'
+    max_diff: '2.0'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.interactive.trainer.trainer_distillation.ImaginaireDistillationTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/rainy/Building/distilled_step4_bg0.5_rm1/console.log b/test/rainy/Building/distilled_step4_bg0.5_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..0b4acc32e74c6a5e0ffd1b5fb7f85423da076746
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.5_rm1/console.log
@@ -0,0 +1,22 @@
+[06-21 17:09:55|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 17:09:55|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 17:09:56|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 17:09:56|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:09:56|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 17:09:56|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:10:01|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 17:10:01|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 17:10:05|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 17:10:05|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 17:10:05|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.5_rm1/config.yaml
+[06-21 17:10:05|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_Building_distilled_step4_bg0.5_rm1']
+[06-21 17:10:05|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_Building_distilled_step4_bg0.5_rm1
+[06-21 17:10:05|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.5_rm1/rainy_Building_distilled_step4_bg0.5_rm1.json
+[06-21 17:10:05|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 17:10:05|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 17:11:11|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 17:11:12|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.5_rm1/rainy_Building_distilled_step4_bg0.5_rm1_control_edge.mp4
+[06-21 17:11:12|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 17:11:13|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.5_rm1/rainy_Building_distilled_step4_bg0.5_rm1.mp4
diff --git a/test/rainy/Building/distilled_step4_bg0.5_rm1/debug.log b/test/rainy/Building/distilled_step4_bg0.5_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..c8092182813555bbf4dd62e9aa27c136e379c997
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.5_rm1/debug.log
@@ -0,0 +1,1484 @@
+[06-21 17:09:42|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=True)
+[06-21 17:09:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 17:09:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 17:09:54|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 17:09:54|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 17:09:54|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.5_rm1') model='edge/distilled' checkpoint_path='s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000' experiment='dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge' config_file='cosmos_transfer2/_src/interactive/configs/registry_transfer2p5.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 17:09:54|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 17:09:54|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 17:09:55|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 17:09:55|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 17:09:55|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 17:09:55|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 17:09:55|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 17:09:55|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 17:09:55|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 17:09:55|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 17:09:55|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 17:09:55|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.interactive.configs.registry_experiment
+[06-21 17:09:55|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiment_list
+[06-21 17:09:55|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_ac_predict2p5
+[06-21 17:09:55|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 17:09:55|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 17:09:55|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_predict2p5
+[06-21 17:09:55|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_transfer2p5
+[06-21 17:09:55|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_knowledge_distill_ac_predict2p5
+[06-21 17:09:55|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_self_forcing_ac_predict2p5
+[06-21 17:09:56|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 17:09:56|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:81:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000
+[06-21 17:09:56|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:109:load_model_from_checkpoint] Setting load_teacher_weights=False for inference to skip teacher checkpoint download
+[06-21 17:09:56|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:94:__init__] Setting precision to torch.bfloat16
+[06-21 17:09:56|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 17:09:56|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 17:09:56|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:09:56|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 17:09:56|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 17:09:56|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 17:09:56|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 17:09:56|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 17:09:56|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 17:10:00|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 17:10:00|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 17:10:01|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 17:10:01|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 17:10:01|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.65 s
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:231:build_model] 
+
+==============config condition_postprocessor: {'hint_keys': ['edge'], '_target_': <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>}
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:232:build_model] 
+
+==============condition_postprocessor: <cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor object at 0x7f5a5477f700>
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_model: 6.40 s
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:10:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.65 s
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 17:10:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.64 s
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:86:build_model] ==========Instantiating networks...==========
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:87:build_model] net: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:88:build_model] net_teacher: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:89:build_model] net_fake_score: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:128:build_model] Freezing the CR1 embedding projection layer in student net..
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:132:build_model] Freezing the CR1 embedding projection layer in fake score net..
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:135:build_model] Freezing teacher net..
+[06-21 17:10:03|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:119:setup_loss_specs] Using mean loss reduce with loss scale 1.0
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 7.73 s
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 17:10:03|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 17:10:04|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:214:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/bbaeedb2b57cc8b14a44653099e2551adb69dcc7/distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 17:10:04|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:173:_process_pt_state_dict_for_ema] Loading EMA-exported checkpoint with net.* keys directly
+[06-21 17:10:04|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:408:load_state_dict] load model in non-strict mode
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 17:10:04|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:409:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 17:10:04|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:819:load_state_dict] load fake score model in non-strict mode
+[06-21 17:10:05|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:820:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['accum_video_sample_counter', 'accum_image_sample_counter', 'accum_iteration', 'accum_train_in_hours', 'x_embedder.proj.1.weight', 'pos_embedder.seq', 'pos_embedder.dim_spatial_range', 'pos_embedder.dim_temporal_range', 't_embedder.1.linear_1.weight', 't_embedder.1.linear_2.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.linear.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.1.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.2.weight', 't_embedding_norm.weight', 'crossattn_proj.0.weight', 'crossattn_proj.0.bias', 'control_embedder.proj.1.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.bias'], unexpected_keys=[], incorrect_shapes=[])
+[06-21 17:10:05|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 17:10:05|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 17:10:05|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 17:10:05|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.5_rm1/config.yaml
+[06-21 17:10:05|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_Building_distilled_step4_bg0.5_rm1']
+[06-21 17:10:05|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_Building_distilled_step4_bg0.5_rm1
+[06-21 17:10:05|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='rainy_Building_distilled_step4_bg0.5_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=4 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 17:10:05|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.5_rm1/rainy_Building_distilled_step4_bg0.5_rm1.json
+[06-21 17:10:05|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 17:10:05|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 17:10:05|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 17:10:05|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4
+[06-21 17:10:05|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 17:10:05|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 17:10:05|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 17:10:05|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 17:10:05|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 17:10:05|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4
+[06-21 17:10:05|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 17:10:05|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 17:10:05|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 17:10:43|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 17:10:43|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 17:11:11|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 31.690547431469895
+[06-21 17:11:11|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 17:11:11|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 17:11:12|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.5_rm1/rainy_Building_distilled_step4_bg0.5_rm1_control_edge.mp4
+[06-21 17:11:12|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 17:11:12|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 17:11:13|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/Building/distilled_step4_bg0.5_rm1/rainy_Building_distilled_step4_bg0.5_rm1.mp4
diff --git a/test/rainy/Building/distilled_step4_bg0.5_rm1/rainy_Building_distilled_step4_bg0.5_rm1.json b/test/rainy/Building/distilled_step4_bg0.5_rm1/rainy_Building_distilled_step4_bg0.5_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..33196f8c2e4bec4d7ee53e18bb12f8bbf3b14fb2
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.5_rm1/rainy_Building_distilled_step4_bg0.5_rm1.json
@@ -0,0 +1 @@
+{"name":"rainy_Building_distilled_step4_bg0.5_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":4,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/rainy/Building/distilled_step4_bg0.5_rm1/rainy_Building_distilled_step4_bg0.5_rm1.mp4 b/test/rainy/Building/distilled_step4_bg0.5_rm1/rainy_Building_distilled_step4_bg0.5_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..3d36d1945ea08e1bddda9d5ef4baa5d90bc533b6
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.5_rm1/rainy_Building_distilled_step4_bg0.5_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f51a3443ded67965b1f7c66dfe81692501cd8b6b1ba508ea4614eb695f5e117e
+size 4045339
diff --git a/test/rainy/Building/distilled_step4_bg0.5_rm1/rainy_Building_distilled_step4_bg0.5_rm1.txt b/test/rainy/Building/distilled_step4_bg0.5_rm1/rainy_Building_distilled_step4_bg0.5_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..213c470aee0671b5a985429e153c07e4efd43cd3
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.5_rm1/rainy_Building_distilled_step4_bg0.5_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.
\ No newline at end of file
diff --git a/test/rainy/Building/distilled_step4_bg0.5_rm1/rainy_Building_distilled_step4_bg0.5_rm1_control_edge.mp4 b/test/rainy/Building/distilled_step4_bg0.5_rm1/rainy_Building_distilled_step4_bg0.5_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..5fc5f4b057f706d7a54074ed1ded7dfa297ca3fb
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.5_rm1/rainy_Building_distilled_step4_bg0.5_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c49968d42faa0f81106ab6e92fceb2d588c040f9c4603f3d5822f112aa2bddeb
+size 2200693
diff --git a/test/rainy/Building/distilled_step4_bg0.5_rm1/spec.json b/test/rainy/Building/distilled_step4_bg0.5_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..d0dbb5ac4df6d876f7d62064a9f83054ff4523ca
--- /dev/null
+++ b/test/rainy/Building/distilled_step4_bg0.5_rm1/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "rainy_Building_distilled_step4_bg0.5_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a rainy overcast day. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades darkened and glistening from the rain. A wet road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft diffuse overcast light, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 4,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures."
+}
\ No newline at end of file
diff --git a/test/rainy/weather/2b_step35_bg0.1_rm0.5/config.yaml b/test/rainy/weather/2b_step35_bg0.1_rm0.5/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..9c6c75e4cebddb07b91db473647050869276ba07
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.1_rm0.5/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f905561b2e0>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f905561b2e0>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f905561b400>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f905561b9a0>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f905561b400>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f905561bd90>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f9059d039a0>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f905572c5e0>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/rainy/weather/2b_step35_bg0.1_rm0.5/console.log b/test/rainy/weather/2b_step35_bg0.1_rm0.5/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..c0050ff4fd1ed17c105c7c1003eb96495c1d6fcd
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.1_rm0.5/console.log
@@ -0,0 +1,18 @@
+[06-21 15:48:55|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 15:48:55|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:49:04|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 15:49:04|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 15:49:06|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 15:49:06|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.1_rm0.5/config.yaml
+[06-21 15:49:06|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_weather_2b_step35_bg0.1_rm0.5']
+[06-21 15:49:06|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_weather_2b_step35_bg0.1_rm0.5
+[06-21 15:49:06|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.1_rm0.5/rainy_weather_2b_step35_bg0.1_rm0.5.json
+[06-21 15:49:06|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 15:49:06|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 15:59:39|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.1_rm0.5/rainy_weather_2b_step35_bg0.1_rm0.5_control_edge.mp4
+[06-21 15:59:39|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 15:59:41|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.1_rm0.5/rainy_weather_2b_step35_bg0.1_rm0.5.mp4
diff --git a/test/rainy/weather/2b_step35_bg0.1_rm0.5/debug.log b/test/rainy/weather/2b_step35_bg0.1_rm0.5/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..766503f72bb034cc9151c0264fcba209993fd6ba
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.1_rm0.5/debug.log
@@ -0,0 +1,973 @@
+[06-21 15:48:41|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 15:48:42|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 15:48:42|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 15:48:52|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 15:48:53|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 15:48:53|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.1_rm0.5') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 15:48:53|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 15:48:53|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 15:48:53|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 15:48:53|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 15:48:53|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 15:48:53|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 15:48:53|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 15:48:53|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 15:48:53|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 15:48:54|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 15:48:54|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 15:48:54|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 15:48:54|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 15:48:54|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 15:48:54|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 15:48:54|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 15:48:54|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 15:48:54|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 15:48:54|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 15:48:54|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 15:48:54|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 15:48:54|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 15:48:54|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 15:48:54|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 15:48:54|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 15:48:54|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 15:48:54|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 15:48:54|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 15:48:54|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 15:48:54|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 15:48:54|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 15:48:55|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 15:48:55|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 15:48:55|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 15:48:55|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 0.98 s
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:48:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.08 s
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.84 s
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.33 s
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.33 s
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 15:49:00|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:49:04|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 15:49:04|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 15:49:04|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 15:49:04|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 10.14 s
+[06-21 15:49:04|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 15:49:04|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 15:49:05|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 15:49:06|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:49:06|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 15:49:06|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 15:49:06|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 15:49:06|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 15:49:06|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 15:49:06|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.1_rm0.5/config.yaml
+[06-21 15:49:06|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_weather_2b_step35_bg0.1_rm0.5']
+[06-21 15:49:06|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_weather_2b_step35_bg0.1_rm0.5
+[06-21 15:49:06|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='rainy_weather_2b_step35_bg0.1_rm0.5' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 15:49:06|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.1_rm0.5/rainy_weather_2b_step35_bg0.1_rm0.5.json
+[06-21 15:49:06|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 15:49:06|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 15:49:06|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 15:49:06|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4
+[06-21 15:49:06|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 15:49:07|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 15:49:07|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 15:49:07|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 15:49:07|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 15:49:07|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 15:49:07|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4
+[06-21 15:49:07|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 176
+[06-21 15:49:07|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 15:49:07|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 15:49:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 15:49:07|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 15:49:07|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:49:07|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 15:49:07|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:49:25|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:54:33|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 15:54:33|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 15:54:33|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 15:54:33|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 15:54:33|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:54:33|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 15:54:33|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:54:35|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:59:38|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 314.55199037049897
+[06-21 15:59:38|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 15:59:39|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.1_rm0.5/rainy_weather_2b_step35_bg0.1_rm0.5_control_edge.mp4
+[06-21 15:59:39|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 15:59:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 15:59:41|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.1_rm0.5/rainy_weather_2b_step35_bg0.1_rm0.5.mp4
diff --git a/test/rainy/weather/2b_step35_bg0.1_rm0.5/rainy_weather_2b_step35_bg0.1_rm0.5.json b/test/rainy/weather/2b_step35_bg0.1_rm0.5/rainy_weather_2b_step35_bg0.1_rm0.5.json
new file mode 100644
index 0000000000000000000000000000000000000000..83aefc086238d5034dc21cf33ecc037711f0eca1
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.1_rm0.5/rainy_weather_2b_step35_bg0.1_rm0.5.json
@@ -0,0 +1 @@
+{"name":"rainy_weather_2b_step35_bg0.1_rm0.5","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/rainy/weather/2b_step35_bg0.1_rm0.5/rainy_weather_2b_step35_bg0.1_rm0.5.mp4 b/test/rainy/weather/2b_step35_bg0.1_rm0.5/rainy_weather_2b_step35_bg0.1_rm0.5.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..5d2114103392425c4b47fbb39f05f66e74bfce70
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.1_rm0.5/rainy_weather_2b_step35_bg0.1_rm0.5.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:65b1397a6f316f4d1f290abec4c763eb0c7efe7daa399d8269246da089653d2c
+size 2423437
diff --git a/test/rainy/weather/2b_step35_bg0.1_rm0.5/rainy_weather_2b_step35_bg0.1_rm0.5.txt b/test/rainy/weather/2b_step35_bg0.1_rm0.5/rainy_weather_2b_step35_bg0.1_rm0.5.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4987ef5fda9ebef26e8337960223fe1a39f70c28
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.1_rm0.5/rainy_weather_2b_step35_bg0.1_rm0.5.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.
\ No newline at end of file
diff --git a/test/rainy/weather/2b_step35_bg0.1_rm0.5/rainy_weather_2b_step35_bg0.1_rm0.5_control_edge.mp4 b/test/rainy/weather/2b_step35_bg0.1_rm0.5/rainy_weather_2b_step35_bg0.1_rm0.5_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..0efd7167248d6dc726173bc526b89fbe81ff601c
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.1_rm0.5/rainy_weather_2b_step35_bg0.1_rm0.5_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7485b050e777b96bed1aa6964ab1403dcc5f780868ddb049bf7c86e10fb761ef
+size 1676430
diff --git a/test/rainy/weather/2b_step35_bg0.1_rm0.5/spec.json b/test/rainy/weather/2b_step35_bg0.1_rm0.5/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..4db8cc8b57f0928d5063394678f0ede58e96ebdf
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.1_rm0.5/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "rainy_weather_2b_step35_bg0.1_rm0.5",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows."
+}
\ No newline at end of file
diff --git a/test/rainy/weather/2b_step35_bg0.1_rm1/config.yaml b/test/rainy/weather/2b_step35_bg0.1_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4661421c6a6d729b2a6454198d3f4e415e543938
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.1_rm1/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fbb1a2bf400>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fbb1a2bf400>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fbb1a2bf520>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7fbb1a2bfac0>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fbb1a2bf520>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7fbb1a2bfeb0>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7fbb1e99fac0>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7fbb1a3e4700>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/rainy/weather/2b_step35_bg0.1_rm1/console.log b/test/rainy/weather/2b_step35_bg0.1_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..a3e038702b1c9d5db760a51245d792eb4cffa619
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.1_rm1/console.log
@@ -0,0 +1,18 @@
+[06-21 15:59:58|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 15:59:58|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:00:04|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 16:00:04|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:00:08|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 16:00:08|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 16:00:10|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 16:00:10|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.1_rm1/config.yaml
+[06-21 16:00:10|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_weather_2b_step35_bg0.1_rm1']
+[06-21 16:00:10|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_weather_2b_step35_bg0.1_rm1
+[06-21 16:00:10|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.1_rm1/rainy_weather_2b_step35_bg0.1_rm1.json
+[06-21 16:00:10|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 16:00:10|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 16:11:03|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.1_rm1/rainy_weather_2b_step35_bg0.1_rm1_control_edge.mp4
+[06-21 16:11:03|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 16:11:05|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.1_rm1/rainy_weather_2b_step35_bg0.1_rm1.mp4
diff --git a/test/rainy/weather/2b_step35_bg0.1_rm1/debug.log b/test/rainy/weather/2b_step35_bg0.1_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..fb3e661cc6b1cc8740f8b09bdb8de363e30cd0fe
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.1_rm1/debug.log
@@ -0,0 +1,973 @@
+[06-21 15:59:44|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 15:59:45|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 15:59:45|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 15:59:56|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 15:59:57|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 15:59:57|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.1_rm1') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 15:59:57|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 15:59:57|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 15:59:57|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 15:59:57|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 15:59:57|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 15:59:57|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 15:59:57|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 15:59:57|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 15:59:57|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 15:59:57|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 15:59:57|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 15:59:57|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 15:59:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 15:59:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 15:59:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 15:59:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 15:59:57|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 15:59:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 15:59:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 15:59:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 15:59:57|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 15:59:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 15:59:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 15:59:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 15:59:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 15:59:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 15:59:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 15:59:58|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 15:59:58|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 15:59:58|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 15:59:58|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 15:59:58|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 15:59:58|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 15:59:59|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 15:59:59|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 1.29 s
+[06-21 16:00:02|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 16:00:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 16:00:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 16:00:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 16:00:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 16:00:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 16:00:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 16:00:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 16:00:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 16:00:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 16:00:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 16:00:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 16:00:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 16:00:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 16:00:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 16:00:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.08 s
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.84 s
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.10 s
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.10 s
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 16:00:03|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:00:04|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 16:00:04|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 16:00:04|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 16:00:04|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 16:00:04|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 16:00:04|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:00:08|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 16:00:08|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 16:00:08|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 16:00:08|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 10.22 s
+[06-21 16:00:08|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 16:00:08|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 16:00:09|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 16:00:09|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:09|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:00:10|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 16:00:10|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 16:00:10|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 16:00:10|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 16:00:10|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 16:00:10|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.1_rm1/config.yaml
+[06-21 16:00:10|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_weather_2b_step35_bg0.1_rm1']
+[06-21 16:00:10|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_weather_2b_step35_bg0.1_rm1
+[06-21 16:00:10|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='rainy_weather_2b_step35_bg0.1_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 16:00:10|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.1_rm1/rainy_weather_2b_step35_bg0.1_rm1.json
+[06-21 16:00:10|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 16:00:10|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 16:00:10|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 16:00:10|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4
+[06-21 16:00:10|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 16:00:10|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 16:00:10|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 16:00:10|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 16:00:10|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 16:00:10|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 16:00:10|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4
+[06-21 16:00:10|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 16:00:11|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 16:00:11|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 16:00:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 16:00:11|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 16:00:11|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:00:11|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 16:00:11|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:00:29|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:05:46|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 16:05:46|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 16:05:47|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 16:05:48|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 16:05:48|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:05:48|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 16:05:48|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:05:50|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:11:00|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 319.77580696798395
+[06-21 16:11:01|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 16:11:03|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.1_rm1/rainy_weather_2b_step35_bg0.1_rm1_control_edge.mp4
+[06-21 16:11:03|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 16:11:03|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 16:11:05|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.1_rm1/rainy_weather_2b_step35_bg0.1_rm1.mp4
diff --git a/test/rainy/weather/2b_step35_bg0.1_rm1/rainy_weather_2b_step35_bg0.1_rm1.json b/test/rainy/weather/2b_step35_bg0.1_rm1/rainy_weather_2b_step35_bg0.1_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..1e13f50a235e196676f9dbc8324a5e1721558106
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.1_rm1/rainy_weather_2b_step35_bg0.1_rm1.json
@@ -0,0 +1 @@
+{"name":"rainy_weather_2b_step35_bg0.1_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/rainy/weather/2b_step35_bg0.1_rm1/rainy_weather_2b_step35_bg0.1_rm1.mp4 b/test/rainy/weather/2b_step35_bg0.1_rm1/rainy_weather_2b_step35_bg0.1_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..c01ba97f919ff9e309a4e6ed35594cb655cbdf46
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.1_rm1/rainy_weather_2b_step35_bg0.1_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:420db7d61db08aec56f952b959717e6a139ea92c26ef42a4e2e0299ce540c2a3
+size 5874957
diff --git a/test/rainy/weather/2b_step35_bg0.1_rm1/rainy_weather_2b_step35_bg0.1_rm1.txt b/test/rainy/weather/2b_step35_bg0.1_rm1/rainy_weather_2b_step35_bg0.1_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4987ef5fda9ebef26e8337960223fe1a39f70c28
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.1_rm1/rainy_weather_2b_step35_bg0.1_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.
\ No newline at end of file
diff --git a/test/rainy/weather/2b_step35_bg0.1_rm1/rainy_weather_2b_step35_bg0.1_rm1_control_edge.mp4 b/test/rainy/weather/2b_step35_bg0.1_rm1/rainy_weather_2b_step35_bg0.1_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..3d26387ac3b10e58e0ccf5d217c25453be731eef
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.1_rm1/rainy_weather_2b_step35_bg0.1_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dc0a0df691bf27491874ae8aa19c94186b1824969467acc8e5ec0befdad2d3db
+size 2163198
diff --git a/test/rainy/weather/2b_step35_bg0.1_rm1/spec.json b/test/rainy/weather/2b_step35_bg0.1_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..a021b6d494863d6307d8f4592ccefd2ff1c13705
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.1_rm1/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "rainy_weather_2b_step35_bg0.1_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows."
+}
\ No newline at end of file
diff --git a/test/rainy/weather/2b_step35_bg0.5_rm1/config.yaml b/test/rainy/weather/2b_step35_bg0.5_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..2f14a9144b03cb0bfe808e37116a14f468a3ca06
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.5_rm1/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f06cab4b490>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f06cab4b490>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f06cab4b5b0>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f06cab4bb50>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f06cab4b5b0>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f06cab4bf40>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f06cf22fb50>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f06cac70790>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/rainy/weather/2b_step35_bg0.5_rm1/console.log b/test/rainy/weather/2b_step35_bg0.5_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..ffd68f6d9bac3d8199b148ec5c19ff560893547d
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.5_rm1/console.log
@@ -0,0 +1,18 @@
+[06-21 16:14:44|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 16:14:44|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:15:15|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 16:15:15|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:15:19|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 16:15:19|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 16:15:21|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 16:15:21|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.5_rm1/config.yaml
+[06-21 16:15:21|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_weather_2b_step35_bg0.5_rm1']
+[06-21 16:15:21|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_weather_2b_step35_bg0.5_rm1
+[06-21 16:15:21|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.5_rm1/rainy_weather_2b_step35_bg0.5_rm1.json
+[06-21 16:15:21|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 16:15:21|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 16:26:09|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.5_rm1/rainy_weather_2b_step35_bg0.5_rm1_control_edge.mp4
+[06-21 16:26:09|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 16:26:10|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.5_rm1/rainy_weather_2b_step35_bg0.5_rm1.mp4
diff --git a/test/rainy/weather/2b_step35_bg0.5_rm1/debug.log b/test/rainy/weather/2b_step35_bg0.5_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..a875f9f3d960ab0fecb11c09ce23ebfa8389ee69
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.5_rm1/debug.log
@@ -0,0 +1,973 @@
+[06-21 16:11:59|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 16:12:16|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 16:12:16|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 16:14:21|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 16:14:30|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 16:14:38|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.5_rm1') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 16:14:40|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 16:14:40|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 16:14:40|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 16:14:40|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 16:14:40|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 16:14:40|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 16:14:40|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 16:14:40|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 16:14:40|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 16:14:41|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 16:14:42|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 16:14:43|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 16:14:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 16:14:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 16:14:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 16:14:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 16:14:43|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 16:14:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 16:14:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 16:14:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 16:14:43|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 16:14:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 16:14:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 16:14:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 16:14:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 16:14:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 16:14:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 16:14:43|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 16:14:43|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 16:14:44|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 16:14:44|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 16:14:44|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 16:14:44|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 16:14:54|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 16:14:55|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 11.04 s
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 16:14:58|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:58|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 16:14:59|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 8.38 s
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 9.15 s
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 12.41 s
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 12.41 s
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 16:15:07|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:15:08|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 16:15:08|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 16:15:08|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 16:15:15|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 16:15:15|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 16:15:15|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:15:19|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 16:15:19|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 16:15:19|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 16:15:19|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 35.78 s
+[06-21 16:15:19|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 16:15:19|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 16:15:20|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 16:15:21|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:15:21|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 16:15:21|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 16:15:21|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 16:15:21|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 16:15:21|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 16:15:21|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.5_rm1/config.yaml
+[06-21 16:15:21|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_weather_2b_step35_bg0.5_rm1']
+[06-21 16:15:21|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_weather_2b_step35_bg0.5_rm1
+[06-21 16:15:21|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='rainy_weather_2b_step35_bg0.5_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 16:15:21|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.5_rm1/rainy_weather_2b_step35_bg0.5_rm1.json
+[06-21 16:15:21|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 16:15:21|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 16:15:21|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 16:15:21|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4
+[06-21 16:15:25|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 16:15:26|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 16:15:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 16:15:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 16:15:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 16:15:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 16:15:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4
+[06-21 16:15:38|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 16:15:38|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 16:15:38|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 16:15:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 16:15:38|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 16:15:38|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:15:38|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 16:15:38|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:15:56|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:21:03|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 16:21:03|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 16:21:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 16:21:03|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 16:21:03|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:21:03|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 16:21:03|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:21:05|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:26:08|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 313.92758178152144
+[06-21 16:26:08|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 16:26:09|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.5_rm1/rainy_weather_2b_step35_bg0.5_rm1_control_edge.mp4
+[06-21 16:26:09|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 16:26:09|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 16:26:10|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_bg0.5_rm1/rainy_weather_2b_step35_bg0.5_rm1.mp4
diff --git a/test/rainy/weather/2b_step35_bg0.5_rm1/rainy_weather_2b_step35_bg0.5_rm1.json b/test/rainy/weather/2b_step35_bg0.5_rm1/rainy_weather_2b_step35_bg0.5_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..c9970f44bf806fc28c1433b90178706c0e3571d0
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.5_rm1/rainy_weather_2b_step35_bg0.5_rm1.json
@@ -0,0 +1 @@
+{"name":"rainy_weather_2b_step35_bg0.5_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/rainy/weather/2b_step35_bg0.5_rm1/rainy_weather_2b_step35_bg0.5_rm1.mp4 b/test/rainy/weather/2b_step35_bg0.5_rm1/rainy_weather_2b_step35_bg0.5_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..974638b09c2eec497ecac3476732110debf610b6
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.5_rm1/rainy_weather_2b_step35_bg0.5_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:694d912d3e9fc546ec2329374a66488b973825788b00834d8f4a2476dec403c7
+size 5946871
diff --git a/test/rainy/weather/2b_step35_bg0.5_rm1/rainy_weather_2b_step35_bg0.5_rm1.txt b/test/rainy/weather/2b_step35_bg0.5_rm1/rainy_weather_2b_step35_bg0.5_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4987ef5fda9ebef26e8337960223fe1a39f70c28
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.5_rm1/rainy_weather_2b_step35_bg0.5_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.
\ No newline at end of file
diff --git a/test/rainy/weather/2b_step35_bg0.5_rm1/rainy_weather_2b_step35_bg0.5_rm1_control_edge.mp4 b/test/rainy/weather/2b_step35_bg0.5_rm1/rainy_weather_2b_step35_bg0.5_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..5fc5f4b057f706d7a54074ed1ded7dfa297ca3fb
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.5_rm1/rainy_weather_2b_step35_bg0.5_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c49968d42faa0f81106ab6e92fceb2d588c040f9c4603f3d5822f112aa2bddeb
+size 2200693
diff --git a/test/rainy/weather/2b_step35_bg0.5_rm1/spec.json b/test/rainy/weather/2b_step35_bg0.5_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..527f9c46129d8f662ab8803405cb066cb5802d8a
--- /dev/null
+++ b/test/rainy/weather/2b_step35_bg0.5_rm1/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "rainy_weather_2b_step35_bg0.5_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows."
+}
\ No newline at end of file
diff --git a/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/config.yaml b/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..315f9c46563ea86f810229bb88c8dedd0cf7765f
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f46c0337370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f46c0337370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f46c0337490>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f46c0337a30>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f46c0337490>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f46c0337e20>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f46c4a1fa30>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f46c04384c0>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/console.log b/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..30522e414bb73cf911ebd9b6e50511fd6f2a20e3
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/console.log
@@ -0,0 +1,18 @@
+[06-21 16:26:34|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 16:26:34|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:26:40|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 16:26:40|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:26:44|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 16:26:44|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 16:26:45|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 16:26:46|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.1_rm0.5/config.yaml
+[06-21 16:26:46|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_weather_2b_step35_masked_bg0.1_rm0.5']
+[06-21 16:26:46|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_weather_2b_step35_masked_bg0.1_rm0.5
+[06-21 16:26:46|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.1_rm0.5/rainy_weather_2b_step35_masked_bg0.1_rm0.5.json
+[06-21 16:26:46|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 16:26:46|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/weather_mask.mp4', 'edge_mask_prompt': None}
+[06-21 16:37:18|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.1_rm0.5/rainy_weather_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4
+[06-21 16:37:18|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 16:37:19|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.1_rm0.5/rainy_weather_2b_step35_masked_bg0.1_rm0.5.mp4
diff --git a/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/debug.log b/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..4e896bed1dab5f871b8ef865f5b6041e8e8fb851
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/debug.log
@@ -0,0 +1,975 @@
+[06-21 16:26:20|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 16:26:21|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 16:26:21|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 16:26:32|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 16:26:33|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 16:26:33|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.1_rm0.5') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 16:26:33|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 16:26:33|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 16:26:33|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 16:26:33|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 16:26:33|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 16:26:33|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 16:26:33|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 16:26:33|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 16:26:33|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 16:26:33|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 16:26:33|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 16:26:33|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 16:26:33|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 16:26:33|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 16:26:33|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 16:26:33|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 16:26:33|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 16:26:33|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 16:26:33|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 16:26:33|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 16:26:33|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 16:26:33|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 16:26:33|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 16:26:34|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 16:26:34|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 16:26:34|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 16:26:34|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 16:26:34|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 16:26:34|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 16:26:34|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 16:26:34|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 16:26:34|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 16:26:34|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 16:26:35|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 16:26:35|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 1.04 s
+[06-21 16:26:38|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 16:26:38|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 16:26:38|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 16:26:38|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 16:26:38|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 16:26:38|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 16:26:38|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 16:26:38|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 16:26:38|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 16:26:38|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 16:26:38|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 16:26:38|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 16:26:38|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 16:26:38|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 16:26:38|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 16:26:38|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.08 s
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.84 s
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.09 s
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.09 s
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 16:26:39|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:26:40|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 16:26:40|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 16:26:40|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 16:26:40|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 16:26:40|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 16:26:40|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:26:44|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 16:26:44|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 16:26:44|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 16:26:44|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 9.92 s
+[06-21 16:26:44|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 16:26:44|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 16:26:44|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 16:26:45|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:26:45|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 16:26:45|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 16:26:45|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 16:26:45|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 16:26:45|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 16:26:46|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.1_rm0.5/config.yaml
+[06-21 16:26:46|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_weather_2b_step35_masked_bg0.1_rm0.5']
+[06-21 16:26:46|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_weather_2b_step35_masked_bg0.1_rm0.5
+[06-21 16:26:46|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='rainy_weather_2b_step35_masked_bg0.1_rm0.5' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4'), control_weight=1.0, mask_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/weather_mask.mp4'), mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 16:26:46|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.1_rm0.5/rainy_weather_2b_step35_masked_bg0.1_rm0.5.json
+[06-21 16:26:46|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 16:26:46|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/weather_mask.mp4', 'edge_mask_prompt': None}
+[06-21 16:26:46|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 16:26:46|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4
+[06-21 16:26:46|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 16:26:46|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 16:26:46|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 16:26:46|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 16:26:46|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 16:26:46|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 16:26:46|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4
+[06-21 16:26:46|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 176
+[06-21 16:26:46|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/weather_mask.mp4
+[06-21 16:26:46|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 16:26:47|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 16:26:47|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 16:26:47|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 16:26:47|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 16:26:47|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:26:47|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 16:26:47|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:27:05|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:32:11|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 16:32:11|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 16:32:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 16:32:12|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 16:32:12|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:32:12|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 16:32:12|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:32:14|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:37:17|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 314.02611197403166
+[06-21 16:37:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 16:37:18|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.1_rm0.5/rainy_weather_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4
+[06-21 16:37:18|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 16:37:18|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 16:37:19|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.1_rm0.5/rainy_weather_2b_step35_masked_bg0.1_rm0.5.mp4
diff --git a/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/rainy_weather_2b_step35_masked_bg0.1_rm0.5.json b/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/rainy_weather_2b_step35_masked_bg0.1_rm0.5.json
new file mode 100644
index 0000000000000000000000000000000000000000..6747d7369d74d4abde8b6040ec77e80b2e21bd4a
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/rainy_weather_2b_step35_masked_bg0.1_rm0.5.json
@@ -0,0 +1 @@
+{"name":"rainy_weather_2b_step35_masked_bg0.1_rm0.5","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4","control_weight":1.0,"mask_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/weather_mask.mp4","mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/rainy_weather_2b_step35_masked_bg0.1_rm0.5.mp4 b/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/rainy_weather_2b_step35_masked_bg0.1_rm0.5.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..52366ba447998ecb10a12d3ddd57b6314976c9da
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/rainy_weather_2b_step35_masked_bg0.1_rm0.5.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b6ba3ae23c0df386b15d2cde6454f5d26724917cbbf110cefb9ec92b1a4fb933
+size 2458668
diff --git a/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/rainy_weather_2b_step35_masked_bg0.1_rm0.5.txt b/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/rainy_weather_2b_step35_masked_bg0.1_rm0.5.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4987ef5fda9ebef26e8337960223fe1a39f70c28
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/rainy_weather_2b_step35_masked_bg0.1_rm0.5.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.
\ No newline at end of file
diff --git a/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/rainy_weather_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4 b/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/rainy_weather_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..74c95e041760d95a2a6cab852fa4c0d184dbbf2e
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/rainy_weather_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21c993048b39e7fe31a16ba7a7890c3602dbb128fda23152775cfaa05849ae57
+size 2385039
diff --git a/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/spec.json b/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..3dbc10dc0220a150d2fb2578d9ceb505d24ec77d
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.1_rm0.5/spec.json
@@ -0,0 +1,14 @@
+{
+  "name": "rainy_weather_2b_step35_masked_bg0.1_rm0.5",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4",
+    "control_weight": 1.0,
+    "mask_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/weather_mask.mp4"
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows."
+}
\ No newline at end of file
diff --git a/test/rainy/weather/2b_step35_masked_bg0.1_rm1/config.yaml b/test/rainy/weather/2b_step35_masked_bg0.1_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..156c9dc54cabf3d23486b045c27607e1d4e5f90d
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.1_rm1/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f121bddf370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f121bddf370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f121bddf490>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f121bddfa30>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f121bddf490>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f121bddfe20>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f12202cba30>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f121bf04670>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/rainy/weather/2b_step35_masked_bg0.1_rm1/console.log b/test/rainy/weather/2b_step35_masked_bg0.1_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..a113d2f53ce0d8f56e709695f653d0286f8b7951
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.1_rm1/console.log
@@ -0,0 +1,18 @@
+[06-21 16:37:47|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 16:37:47|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:37:57|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 16:37:57|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:38:04|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 16:38:04|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 16:38:10|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 16:38:10|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.1_rm1/config.yaml
+[06-21 16:38:10|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_weather_2b_step35_masked_bg0.1_rm1']
+[06-21 16:38:10|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_weather_2b_step35_masked_bg0.1_rm1
+[06-21 16:38:10|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.1_rm1/rainy_weather_2b_step35_masked_bg0.1_rm1.json
+[06-21 16:38:10|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 16:38:10|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/weather_mask.mp4', 'edge_mask_prompt': None}
+[06-21 16:49:06|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.1_rm1/rainy_weather_2b_step35_masked_bg0.1_rm1_control_edge.mp4
+[06-21 16:49:06|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 16:49:08|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.1_rm1/rainy_weather_2b_step35_masked_bg0.1_rm1.mp4
diff --git a/test/rainy/weather/2b_step35_masked_bg0.1_rm1/debug.log b/test/rainy/weather/2b_step35_masked_bg0.1_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..d002a72fb584ecd5ab972d42de06254143b5d5ac
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.1_rm1/debug.log
@@ -0,0 +1,975 @@
+[06-21 16:37:25|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 16:37:27|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 16:37:27|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 16:37:45|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 16:37:45|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 16:37:46|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.1_rm1') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 16:37:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 16:37:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 16:37:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 16:37:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 16:37:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 16:37:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 16:37:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 16:37:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 16:37:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 16:37:46|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 16:37:46|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 16:37:46|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 16:37:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 16:37:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 16:37:47|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 16:37:47|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 16:37:47|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 16:37:47|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 16:37:47|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 16:37:47|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 16:37:47|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 16:37:47|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 16:37:47|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 16:37:47|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 16:37:47|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 16:37:47|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 16:37:47|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 16:37:47|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 16:37:47|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 16:37:47|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 16:37:47|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 16:37:47|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 16:37:47|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 16:37:50|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 16:37:50|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 3.18 s
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 16:37:54|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:54|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.12 s
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 1.11 s
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.85 s
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.85 s
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 16:37:55|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:37:57|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 16:37:57|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 16:37:57|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 16:37:57|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 16:37:57|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 16:37:57|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:38:04|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 16:38:04|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 16:38:04|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 16:38:04|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 17.11 s
+[06-21 16:38:04|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 16:38:04|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 16:38:05|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 16:38:10|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:38:10|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 16:38:10|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 16:38:10|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 16:38:10|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 16:38:10|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 16:38:10|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.1_rm1/config.yaml
+[06-21 16:38:10|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_weather_2b_step35_masked_bg0.1_rm1']
+[06-21 16:38:10|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_weather_2b_step35_masked_bg0.1_rm1
+[06-21 16:38:10|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='rainy_weather_2b_step35_masked_bg0.1_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4'), control_weight=1.0, mask_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/weather_mask.mp4'), mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 16:38:10|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.1_rm1/rainy_weather_2b_step35_masked_bg0.1_rm1.json
+[06-21 16:38:10|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 16:38:10|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/weather_mask.mp4', 'edge_mask_prompt': None}
+[06-21 16:38:10|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 16:38:10|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4
+[06-21 16:38:11|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 16:38:11|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 16:38:11|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 16:38:11|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 16:38:11|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 16:38:11|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 16:38:11|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4
+[06-21 16:38:12|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 16:38:12|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/weather_mask.mp4
+[06-21 16:38:12|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 16:38:12|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 16:38:12|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 16:38:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 16:38:12|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 16:38:12|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:38:12|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 16:38:12|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:38:30|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:43:57|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 16:43:57|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 16:43:57|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 16:43:57|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 16:43:57|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:43:57|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 16:43:57|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:44:00|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:49:04|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 324.30879262648523
+[06-21 16:49:04|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 16:49:06|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.1_rm1/rainy_weather_2b_step35_masked_bg0.1_rm1_control_edge.mp4
+[06-21 16:49:06|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 16:49:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 16:49:08|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.1_rm1/rainy_weather_2b_step35_masked_bg0.1_rm1.mp4
diff --git a/test/rainy/weather/2b_step35_masked_bg0.1_rm1/rainy_weather_2b_step35_masked_bg0.1_rm1.json b/test/rainy/weather/2b_step35_masked_bg0.1_rm1/rainy_weather_2b_step35_masked_bg0.1_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..3e0688f1737dfdc3a2939cc5c3a2014cfaeec810
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.1_rm1/rainy_weather_2b_step35_masked_bg0.1_rm1.json
@@ -0,0 +1 @@
+{"name":"rainy_weather_2b_step35_masked_bg0.1_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4","control_weight":1.0,"mask_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/weather_mask.mp4","mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/rainy/weather/2b_step35_masked_bg0.1_rm1/rainy_weather_2b_step35_masked_bg0.1_rm1.mp4 b/test/rainy/weather/2b_step35_masked_bg0.1_rm1/rainy_weather_2b_step35_masked_bg0.1_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..373f5b93f7e2a3b6b758cf24a5a17fcc44f29e22
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.1_rm1/rainy_weather_2b_step35_masked_bg0.1_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3102c4e0c086c8d28e456cd9947c209b7e9a9055325b9dd238eb408260bfd107
+size 5346513
diff --git a/test/rainy/weather/2b_step35_masked_bg0.1_rm1/rainy_weather_2b_step35_masked_bg0.1_rm1.txt b/test/rainy/weather/2b_step35_masked_bg0.1_rm1/rainy_weather_2b_step35_masked_bg0.1_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4987ef5fda9ebef26e8337960223fe1a39f70c28
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.1_rm1/rainy_weather_2b_step35_masked_bg0.1_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.
\ No newline at end of file
diff --git a/test/rainy/weather/2b_step35_masked_bg0.1_rm1/rainy_weather_2b_step35_masked_bg0.1_rm1_control_edge.mp4 b/test/rainy/weather/2b_step35_masked_bg0.1_rm1/rainy_weather_2b_step35_masked_bg0.1_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..2f8a51f41ee28fc2e396bc59dd3f20c1f9bf01ca
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.1_rm1/rainy_weather_2b_step35_masked_bg0.1_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef166b9bb6f5a94282405edc59d9b86b855367b9740ab33232b9fe75caf9282b
+size 2952158
diff --git a/test/rainy/weather/2b_step35_masked_bg0.1_rm1/spec.json b/test/rainy/weather/2b_step35_masked_bg0.1_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..232448ea2d5bdbae135a475a47ec06b8ccbe6c85
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.1_rm1/spec.json
@@ -0,0 +1,14 @@
+{
+  "name": "rainy_weather_2b_step35_masked_bg0.1_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4",
+    "control_weight": 1.0,
+    "mask_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/weather_mask.mp4"
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows."
+}
\ No newline at end of file
diff --git a/test/rainy/weather/2b_step35_masked_bg0.5_rm1/config.yaml b/test/rainy/weather/2b_step35_masked_bg0.5_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..c818d238b065ec77ac2b76b8a9ade990b0d53e05
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.5_rm1/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fa3a3ac7370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fa3a3ac7370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fa3a3ac7490>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7fa3a3ac7a30>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fa3a3ac7490>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7fa3a3ac7e20>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7fa3a81aba30>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7fa3a3bec4c0>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/rainy/weather/2b_step35_masked_bg0.5_rm1/console.log b/test/rainy/weather/2b_step35_masked_bg0.5_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..486f9420fa68434a3a96b0afc27f3a7b936c8439
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.5_rm1/console.log
@@ -0,0 +1,18 @@
+[06-21 16:51:14|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 16:51:14|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:54:31|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 16:54:31|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:54:52|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 16:54:52|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 16:54:54|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 16:54:54|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.5_rm1/config.yaml
+[06-21 16:54:54|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_weather_2b_step35_masked_bg0.5_rm1']
+[06-21 16:54:54|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_weather_2b_step35_masked_bg0.5_rm1
+[06-21 16:54:54|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.5_rm1/rainy_weather_2b_step35_masked_bg0.5_rm1.json
+[06-21 16:54:54|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 16:54:54|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/weather_mask.mp4', 'edge_mask_prompt': None}
+[06-21 17:05:43|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.5_rm1/rainy_weather_2b_step35_masked_bg0.5_rm1_control_edge.mp4
+[06-21 17:05:43|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 17:05:45|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.5_rm1/rainy_weather_2b_step35_masked_bg0.5_rm1.mp4
diff --git a/test/rainy/weather/2b_step35_masked_bg0.5_rm1/debug.log b/test/rainy/weather/2b_step35_masked_bg0.5_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..a90ede452db7c7dcd847923020140a61d05315a1
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.5_rm1/debug.log
@@ -0,0 +1,975 @@
+[06-21 16:50:15|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 16:50:19|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 16:50:19|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 16:51:04|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 16:51:08|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 16:51:10|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.5_rm1') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 16:51:12|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 16:51:12|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 16:51:12|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 16:51:12|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 16:51:12|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 16:51:12|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 16:51:12|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 16:51:12|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 16:51:12|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 16:51:13|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 16:51:13|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 16:51:13|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 16:51:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 16:51:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 16:51:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 16:51:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 16:51:13|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 16:51:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 16:51:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 16:51:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 16:51:13|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 16:51:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 16:51:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 16:51:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 16:51:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 16:51:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 16:51:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 16:51:14|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 16:51:14|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 16:51:14|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 16:51:14|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 16:51:14|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 16:51:14|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 16:51:20|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 16:51:20|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 5.55 s
+[06-21 16:54:29|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 16:54:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 16:54:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 16:54:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 16:54:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 16:54:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 16:54:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 16:54:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 16:54:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 16:54:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 16:54:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 16:54:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 16:54:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 16:54:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 16:54:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 16:54:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.10 s
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.86 s
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 190.51 s
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 190.51 s
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 16:54:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:54:31|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 16:54:31|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 16:54:31|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 16:54:31|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 16:54:31|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 16:54:31|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 16:54:52|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 16:54:52|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 16:54:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 16:54:52|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 217.85 s
+[06-21 16:54:52|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 16:54:52|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 16:54:52|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 16:54:53|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:53|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 16:54:54|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 16:54:54|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 16:54:54|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 16:54:54|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 16:54:54|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 16:54:54|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.5_rm1/config.yaml
+[06-21 16:54:54|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_weather_2b_step35_masked_bg0.5_rm1']
+[06-21 16:54:54|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_weather_2b_step35_masked_bg0.5_rm1
+[06-21 16:54:54|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='rainy_weather_2b_step35_masked_bg0.5_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4'), control_weight=1.0, mask_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/weather_mask.mp4'), mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 16:54:54|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.5_rm1/rainy_weather_2b_step35_masked_bg0.5_rm1.json
+[06-21 16:54:54|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 16:54:54|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/weather_mask.mp4', 'edge_mask_prompt': None}
+[06-21 16:54:54|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 16:54:54|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4
+[06-21 16:54:54|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 16:54:54|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 16:54:58|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 16:54:58|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 16:54:58|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 16:54:58|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 16:54:58|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4
+[06-21 16:54:58|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 16:54:58|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/weather_mask.mp4
+[06-21 16:54:58|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 16:54:58|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 16:54:58|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 16:54:58|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 16:54:58|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 16:54:59|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:54:59|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 16:54:59|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 16:55:22|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:00:36|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 17:00:36|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 17:00:36|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 17:00:36|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 17:00:37|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:00:37|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 17:00:37|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:00:39|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 17:05:41|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 320.4878688520985
+[06-21 17:05:42|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 17:05:43|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.5_rm1/rainy_weather_2b_step35_masked_bg0.5_rm1_control_edge.mp4
+[06-21 17:05:43|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 17:05:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 17:05:45|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/2b_step35_masked_bg0.5_rm1/rainy_weather_2b_step35_masked_bg0.5_rm1.mp4
diff --git a/test/rainy/weather/2b_step35_masked_bg0.5_rm1/rainy_weather_2b_step35_masked_bg0.5_rm1.json b/test/rainy/weather/2b_step35_masked_bg0.5_rm1/rainy_weather_2b_step35_masked_bg0.5_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..7449a8896aa422c4dc958aef47fb25cfb8014b63
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.5_rm1/rainy_weather_2b_step35_masked_bg0.5_rm1.json
@@ -0,0 +1 @@
+{"name":"rainy_weather_2b_step35_masked_bg0.5_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4","control_weight":1.0,"mask_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/weather_mask.mp4","mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/rainy/weather/2b_step35_masked_bg0.5_rm1/rainy_weather_2b_step35_masked_bg0.5_rm1.mp4 b/test/rainy/weather/2b_step35_masked_bg0.5_rm1/rainy_weather_2b_step35_masked_bg0.5_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..57cad71f33cc1c43dcfebde11570985c06e14871
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.5_rm1/rainy_weather_2b_step35_masked_bg0.5_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:24a07471c0e4209aa10f3417e68e41a9ad842d817db1e846569f7c2561995b4c
+size 5389016
diff --git a/test/rainy/weather/2b_step35_masked_bg0.5_rm1/rainy_weather_2b_step35_masked_bg0.5_rm1.txt b/test/rainy/weather/2b_step35_masked_bg0.5_rm1/rainy_weather_2b_step35_masked_bg0.5_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4987ef5fda9ebef26e8337960223fe1a39f70c28
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.5_rm1/rainy_weather_2b_step35_masked_bg0.5_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.
\ No newline at end of file
diff --git a/test/rainy/weather/2b_step35_masked_bg0.5_rm1/rainy_weather_2b_step35_masked_bg0.5_rm1_control_edge.mp4 b/test/rainy/weather/2b_step35_masked_bg0.5_rm1/rainy_weather_2b_step35_masked_bg0.5_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..a2b297f3b6946d2d3beb17949ea8c440bebcaa32
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.5_rm1/rainy_weather_2b_step35_masked_bg0.5_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f381091ce1ea9ef70f407146fed6e806517968bc2c757d6e7f88b9ca55a61a5e
+size 3081104
diff --git a/test/rainy/weather/2b_step35_masked_bg0.5_rm1/spec.json b/test/rainy/weather/2b_step35_masked_bg0.5_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..4a23f5b16bae2bc78844ccbc1c84418f6889ebf1
--- /dev/null
+++ b/test/rainy/weather/2b_step35_masked_bg0.5_rm1/spec.json
@@ -0,0 +1,14 @@
+{
+  "name": "rainy_weather_2b_step35_masked_bg0.5_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4",
+    "control_weight": 1.0,
+    "mask_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/rainy/weather_mask.mp4"
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows."
+}
\ No newline at end of file
diff --git a/test/rainy/weather/distilled_step4_bg0.1_rm0.5/config.yaml b/test/rainy/weather/distilled_step4_bg0.1_rm0.5/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e18bae99d092dc13ecae0e5b74935e0d32437a45
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.1_rm0.5/config.yaml
@@ -0,0 +1,956 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: ''
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '500'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'True'
+  type:
+    _target_: <class 'cosmos_transfer2._src.interactive.checkpointer.dcp_distill.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fe4ee91edd0>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7fe4ee91ef80>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fe4ee91edd0>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7fe4ee91f2e0>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val: null
+defaults:
+- _self_
+- data_train: null
+- data_val: null
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- callbacks: basic
+- model: ddp
+- net: null
+- net_fake_score: null
+- net_teacher: null
+- net_discriminator_head: null
+- conditioner: video_prediction_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dcp_distill
+- condition_postprocessor: null
+- experiment: null
+job:
+  cluster: null
+  group: cosmos3_interactive
+  name: dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge
+  project: cosmos_interactive
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.interactive.methods.distribution_matching.dmd2.DMD2Model'>
+  config:
+    base_load_from: null
+    condition_postprocessor:
+      _target_: <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>
+      hint_keys:
+      - edge
+    conditional_frames_probs:
+      0: 0.6
+      1: 0.2
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditioner'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    grad_clip: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    intermediate_feature_ids: null
+    load_teacher_weights: false
+    loss_reduce: mean
+    loss_scale_GAN_discriminator: 1.0
+    loss_scale_GAN_generator: 1.0
+    loss_scale_fake_score: 1.0
+    loss_scale_sid: 1.0
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    multiply_noise_by_video_len: true
+    neg_embed_path: ''
+    neg_prompt_str: The video captures a game playing, with bad crappy graphics and
+      cartoonish frames. It represents a recording of old outdated games. The lighting
+      looks very fake. The textures are very raw and basic. The geometries are very
+      primitive. The images are very pixelated and of poor CG quality. There are many
+      subtitles in the footage. Overall, the video is unrealistic at all.
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_discriminator_head: null
+    net_fake_score:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_teacher:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    noise_level_parameterization: trigflow
+    optimizer_discriminator_config:
+      _target_: <function get_base_optimizer at 0x7fe53fc51cf0>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    optimizer_fake_score_config:
+      _target_: <function get_base_optimizer at 0x7fe53fc51cf0>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    precision: bfloat16
+    rectified_flow_loss_weight_uniform: false
+    rectified_flow_t_scaling_factor: 1.0
+    replace_cond_output_with_gt: true
+    resolution: '720'
+    scaling: rectified_flow
+    sde:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '-0.8'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    sde_D:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '0.0'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    selected_sampling_time:
+    - 1.5707963267948966
+    - 1.5042281630190728
+    - 1.373400766945016
+    - 1.0303768265243125
+    sigma_conditional: 0.0001
+    sigma_data: 1.0
+    state_ch: 16
+    state_t: 24
+    student_load_from: null
+    student_update_freq: 5
+    teacher_guidance: 3.0
+    teacher_load_from:
+      credentials: credentials/s3_checkpoint.secret
+      load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_nonuniform_hqv3p1_20250714_64N_rectified_flow/checkpoints/iter_000029000/model
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7fe5442fb9a0>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    timestep_shift: 5.0
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+    use_clean_cond_timesteps: true
+    use_neg_prompt_str: false
+    use_torch_compile: false
+    vis_debug: false
+    warmup_steps: 1
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 4
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7fe53fc51cf0>
+  betas:
+  - '0.9'
+  - '0.999'
+  capturable: 'True'
+  eps: 1e-08
+  lr: 1e-06
+  master_weights: 'True'
+  model: null
+  optim_type: fusedadam
+  weight_decay: '0.01'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '400000'
+  f_max:
+  - '0.99'
+  f_min:
+  - '0.4'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '10'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'True'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'False'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '1.0'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '10'
+      hit_thres: '100'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '5'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '10'
+  max_iter: '30000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'False'
+    max_diff: '2.0'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.interactive.trainer.trainer_distillation.ImaginaireDistillationTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/rainy/weather/distilled_step4_bg0.1_rm0.5/console.log b/test/rainy/weather/distilled_step4_bg0.1_rm0.5/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..5cae1a7005153a1cd1f6d5f11cb1b9dce0f57e0f
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.1_rm0.5/console.log
@@ -0,0 +1,22 @@
+[06-21 15:42:44|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 15:42:44|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 15:42:45|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 15:42:45|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:42:46|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 15:42:46|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:43:01|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 15:43:01|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 15:43:04|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 15:43:04|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 15:43:33|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 15:43:33|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 15:43:33|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.1_rm0.5/config.yaml
+[06-21 15:43:33|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_weather_distilled_step4_bg0.1_rm0.5']
+[06-21 15:43:33|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_weather_distilled_step4_bg0.1_rm0.5
+[06-21 15:43:33|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.1_rm0.5/rainy_weather_distilled_step4_bg0.1_rm0.5.json
+[06-21 15:43:33|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 15:43:33|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 15:44:39|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 15:44:41|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.1_rm0.5/rainy_weather_distilled_step4_bg0.1_rm0.5_control_edge.mp4
+[06-21 15:44:41|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 15:44:42|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.1_rm0.5/rainy_weather_distilled_step4_bg0.1_rm0.5.mp4
diff --git a/test/rainy/weather/distilled_step4_bg0.1_rm0.5/debug.log b/test/rainy/weather/distilled_step4_bg0.1_rm0.5/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..626c18c230e23ea7f40cab459904acc61c2d39a4
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.1_rm0.5/debug.log
@@ -0,0 +1,1484 @@
+[06-21 15:42:30|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=True)
+[06-21 15:42:31|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 15:42:31|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 15:42:41|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 15:42:42|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 15:42:42|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.1_rm0.5') model='edge/distilled' checkpoint_path='s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000' experiment='dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge' config_file='cosmos_transfer2/_src/interactive/configs/registry_transfer2p5.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 15:42:43|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 15:42:43|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 15:42:43|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 15:42:43|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 15:42:43|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 15:42:43|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 15:42:43|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 15:42:43|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 15:42:43|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 15:42:43|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 15:42:43|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 15:42:43|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.interactive.configs.registry_experiment
+[06-21 15:42:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiment_list
+[06-21 15:42:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_ac_predict2p5
+[06-21 15:42:44|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 15:42:44|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 15:42:44|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_predict2p5
+[06-21 15:42:44|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_transfer2p5
+[06-21 15:42:44|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_knowledge_distill_ac_predict2p5
+[06-21 15:42:44|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_self_forcing_ac_predict2p5
+[06-21 15:42:45|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 15:42:45|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:81:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000
+[06-21 15:42:45|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:109:load_model_from_checkpoint] Setting load_teacher_weights=False for inference to skip teacher checkpoint download
+[06-21 15:42:45|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:94:__init__] Setting precision to torch.bfloat16
+[06-21 15:42:45|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 15:42:45|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 15:42:45|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:42:46|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 15:42:46|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 15:42:46|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 15:42:46|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 15:42:46|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 15:42:46|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:43:00|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 15:43:00|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 15:43:01|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 15:43:01|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 15:43:01|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.79 s
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:231:build_model] 
+
+==============config condition_postprocessor: {'hint_keys': ['edge'], '_target_': <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>}
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:232:build_model] 
+
+==============condition_postprocessor: <cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor object at 0x7fe4ee721960>
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_model: 17.23 s
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:43:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.65 s
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:43:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.65 s
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:86:build_model] ==========Instantiating networks...==========
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:87:build_model] net: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:88:build_model] net_teacher: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:89:build_model] net_fake_score: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:128:build_model] Freezing the CR1 embedding projection layer in student net..
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:132:build_model] Freezing the CR1 embedding projection layer in fake score net..
+[06-21 15:43:03|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:135:build_model] Freezing teacher net..
+[06-21 15:43:04|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:119:setup_loss_specs] Using mean loss reduce with loss scale 1.0
+[06-21 15:43:04|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 18.81 s
+[06-21 15:43:04|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 15:43:04|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 15:43:04|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:214:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/bbaeedb2b57cc8b14a44653099e2551adb69dcc7/distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 15:43:32|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:173:_process_pt_state_dict_for_ema] Loading EMA-exported checkpoint with net.* keys directly
+[06-21 15:43:32|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:408:load_state_dict] load model in non-strict mode
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:43:32|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:409:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 15:43:32|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:819:load_state_dict] load fake score model in non-strict mode
+[06-21 15:43:32|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:820:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['accum_video_sample_counter', 'accum_image_sample_counter', 'accum_iteration', 'accum_train_in_hours', 'x_embedder.proj.1.weight', 'pos_embedder.seq', 'pos_embedder.dim_spatial_range', 'pos_embedder.dim_temporal_range', 't_embedder.1.linear_1.weight', 't_embedder.1.linear_2.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.linear.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.1.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.2.weight', 't_embedding_norm.weight', 'crossattn_proj.0.weight', 'crossattn_proj.0.bias', 'control_embedder.proj.1.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.bias'], unexpected_keys=[], incorrect_shapes=[])
+[06-21 15:43:33|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 15:43:33|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 15:43:33|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 15:43:33|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.1_rm0.5/config.yaml
+[06-21 15:43:33|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_weather_distilled_step4_bg0.1_rm0.5']
+[06-21 15:43:33|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_weather_distilled_step4_bg0.1_rm0.5
+[06-21 15:43:33|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='rainy_weather_distilled_step4_bg0.1_rm0.5' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=4 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 15:43:33|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.1_rm0.5/rainy_weather_distilled_step4_bg0.1_rm0.5.json
+[06-21 15:43:33|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 15:43:33|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 15:43:33|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 15:43:33|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4
+[06-21 15:43:33|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 15:43:33|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 15:43:33|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 15:43:33|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 15:43:33|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 15:43:33|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4
+[06-21 15:43:34|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 176
+[06-21 15:43:34|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 15:43:34|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 15:44:11|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 15:44:12|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 15:44:39|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 31.96000795508735
+[06-21 15:44:39|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 15:44:40|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 15:44:41|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.1_rm0.5/rainy_weather_distilled_step4_bg0.1_rm0.5_control_edge.mp4
+[06-21 15:44:41|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 15:44:41|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 15:44:42|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.1_rm0.5/rainy_weather_distilled_step4_bg0.1_rm0.5.mp4
diff --git a/test/rainy/weather/distilled_step4_bg0.1_rm0.5/rainy_weather_distilled_step4_bg0.1_rm0.5.json b/test/rainy/weather/distilled_step4_bg0.1_rm0.5/rainy_weather_distilled_step4_bg0.1_rm0.5.json
new file mode 100644
index 0000000000000000000000000000000000000000..e786af6cdcd331c238eff1c6c7ad3bf289ac5b37
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.1_rm0.5/rainy_weather_distilled_step4_bg0.1_rm0.5.json
@@ -0,0 +1 @@
+{"name":"rainy_weather_distilled_step4_bg0.1_rm0.5","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":4,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/rainy/weather/distilled_step4_bg0.1_rm0.5/rainy_weather_distilled_step4_bg0.1_rm0.5.mp4 b/test/rainy/weather/distilled_step4_bg0.1_rm0.5/rainy_weather_distilled_step4_bg0.1_rm0.5.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..f41f2ebb06fa47983306b1d9ee5ccf676dcab797
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.1_rm0.5/rainy_weather_distilled_step4_bg0.1_rm0.5.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e2bbb77f50ac1d5a7980fc51a413366b9c9d0f33074d2025176829411ddac83a
+size 1836511
diff --git a/test/rainy/weather/distilled_step4_bg0.1_rm0.5/rainy_weather_distilled_step4_bg0.1_rm0.5.txt b/test/rainy/weather/distilled_step4_bg0.1_rm0.5/rainy_weather_distilled_step4_bg0.1_rm0.5.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4987ef5fda9ebef26e8337960223fe1a39f70c28
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.1_rm0.5/rainy_weather_distilled_step4_bg0.1_rm0.5.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.
\ No newline at end of file
diff --git a/test/rainy/weather/distilled_step4_bg0.1_rm0.5/rainy_weather_distilled_step4_bg0.1_rm0.5_control_edge.mp4 b/test/rainy/weather/distilled_step4_bg0.1_rm0.5/rainy_weather_distilled_step4_bg0.1_rm0.5_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..0efd7167248d6dc726173bc526b89fbe81ff601c
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.1_rm0.5/rainy_weather_distilled_step4_bg0.1_rm0.5_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7485b050e777b96bed1aa6964ab1403dcc5f780868ddb049bf7c86e10fb761ef
+size 1676430
diff --git a/test/rainy/weather/distilled_step4_bg0.1_rm0.5/spec.json b/test/rainy/weather/distilled_step4_bg0.1_rm0.5/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..c02fa3e5ab5ec8ed90a9c131016fc5121d9efaef
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.1_rm0.5/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "rainy_weather_distilled_step4_bg0.1_rm0.5",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 4,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm0.5.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows."
+}
\ No newline at end of file
diff --git a/test/rainy/weather/distilled_step4_bg0.1_rm1/config.yaml b/test/rainy/weather/distilled_step4_bg0.1_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..db8aafe0f73fe18395b5a186386ef818bc6362b4
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.1_rm1/config.yaml
@@ -0,0 +1,956 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: ''
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '500'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'True'
+  type:
+    _target_: <class 'cosmos_transfer2._src.interactive.checkpointer.dcp_distill.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f101892edd0>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f101892ef80>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f101892edd0>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f101892f2e0>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val: null
+defaults:
+- _self_
+- data_train: null
+- data_val: null
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- callbacks: basic
+- model: ddp
+- net: null
+- net_fake_score: null
+- net_teacher: null
+- net_discriminator_head: null
+- conditioner: video_prediction_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dcp_distill
+- condition_postprocessor: null
+- experiment: null
+job:
+  cluster: null
+  group: cosmos3_interactive
+  name: dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge
+  project: cosmos_interactive
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.interactive.methods.distribution_matching.dmd2.DMD2Model'>
+  config:
+    base_load_from: null
+    condition_postprocessor:
+      _target_: <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>
+      hint_keys:
+      - edge
+    conditional_frames_probs:
+      0: 0.6
+      1: 0.2
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditioner'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    grad_clip: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    intermediate_feature_ids: null
+    load_teacher_weights: false
+    loss_reduce: mean
+    loss_scale_GAN_discriminator: 1.0
+    loss_scale_GAN_generator: 1.0
+    loss_scale_fake_score: 1.0
+    loss_scale_sid: 1.0
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    multiply_noise_by_video_len: true
+    neg_embed_path: ''
+    neg_prompt_str: The video captures a game playing, with bad crappy graphics and
+      cartoonish frames. It represents a recording of old outdated games. The lighting
+      looks very fake. The textures are very raw and basic. The geometries are very
+      primitive. The images are very pixelated and of poor CG quality. There are many
+      subtitles in the footage. Overall, the video is unrealistic at all.
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_discriminator_head: null
+    net_fake_score:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_teacher:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    noise_level_parameterization: trigflow
+    optimizer_discriminator_config:
+      _target_: <function get_base_optimizer at 0x7f1069c5dcf0>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    optimizer_fake_score_config:
+      _target_: <function get_base_optimizer at 0x7f1069c5dcf0>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    precision: bfloat16
+    rectified_flow_loss_weight_uniform: false
+    rectified_flow_t_scaling_factor: 1.0
+    replace_cond_output_with_gt: true
+    resolution: '720'
+    scaling: rectified_flow
+    sde:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '-0.8'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    sde_D:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '0.0'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    selected_sampling_time:
+    - 1.5707963267948966
+    - 1.5042281630190728
+    - 1.373400766945016
+    - 1.0303768265243125
+    sigma_conditional: 0.0001
+    sigma_data: 1.0
+    state_ch: 16
+    state_t: 24
+    student_load_from: null
+    student_update_freq: 5
+    teacher_guidance: 3.0
+    teacher_load_from:
+      credentials: credentials/s3_checkpoint.secret
+      load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_nonuniform_hqv3p1_20250714_64N_rectified_flow/checkpoints/iter_000029000/model
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f106e30f9a0>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    timestep_shift: 5.0
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+    use_clean_cond_timesteps: true
+    use_neg_prompt_str: false
+    use_torch_compile: false
+    vis_debug: false
+    warmup_steps: 1
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 4
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f1069c5dcf0>
+  betas:
+  - '0.9'
+  - '0.999'
+  capturable: 'True'
+  eps: 1e-08
+  lr: 1e-06
+  master_weights: 'True'
+  model: null
+  optim_type: fusedadam
+  weight_decay: '0.01'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '400000'
+  f_max:
+  - '0.99'
+  f_min:
+  - '0.4'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '10'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'True'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'False'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '1.0'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '10'
+      hit_thres: '100'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '5'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '10'
+  max_iter: '30000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'False'
+    max_diff: '2.0'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.interactive.trainer.trainer_distillation.ImaginaireDistillationTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/rainy/weather/distilled_step4_bg0.1_rm1/console.log b/test/rainy/weather/distilled_step4_bg0.1_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..85128ad7ff86bc80b2a1a034e1d68855df7f10fd
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.1_rm1/console.log
@@ -0,0 +1,22 @@
+[06-21 15:45:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 15:45:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 15:45:22|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 15:45:22|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:45:23|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 15:45:23|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:45:27|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 15:45:27|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 15:45:31|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 15:45:31|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 15:45:31|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.1_rm1/config.yaml
+[06-21 15:45:31|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_weather_distilled_step4_bg0.1_rm1']
+[06-21 15:45:31|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_weather_distilled_step4_bg0.1_rm1
+[06-21 15:45:31|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.1_rm1/rainy_weather_distilled_step4_bg0.1_rm1.json
+[06-21 15:45:31|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 15:45:31|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 15:46:37|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 15:46:39|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.1_rm1/rainy_weather_distilled_step4_bg0.1_rm1_control_edge.mp4
+[06-21 15:46:39|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 15:46:40|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.1_rm1/rainy_weather_distilled_step4_bg0.1_rm1.mp4
diff --git a/test/rainy/weather/distilled_step4_bg0.1_rm1/debug.log b/test/rainy/weather/distilled_step4_bg0.1_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..06e3fcdfd6f193f5089519a9badd813bc4dfdc5a
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.1_rm1/debug.log
@@ -0,0 +1,1484 @@
+[06-21 15:45:08|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=True)
+[06-21 15:45:09|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 15:45:09|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 15:45:20|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 15:45:20|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 15:45:21|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.1_rm1') model='edge/distilled' checkpoint_path='s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000' experiment='dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge' config_file='cosmos_transfer2/_src/interactive/configs/registry_transfer2p5.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 15:45:21|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 15:45:21|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 15:45:21|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 15:45:21|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 15:45:21|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 15:45:21|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 15:45:21|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 15:45:21|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 15:45:21|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 15:45:21|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 15:45:21|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 15:45:21|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.interactive.configs.registry_experiment
+[06-21 15:45:21|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiment_list
+[06-21 15:45:21|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_ac_predict2p5
+[06-21 15:45:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 15:45:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 15:45:21|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_predict2p5
+[06-21 15:45:21|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_transfer2p5
+[06-21 15:45:21|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_knowledge_distill_ac_predict2p5
+[06-21 15:45:21|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_self_forcing_ac_predict2p5
+[06-21 15:45:22|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 15:45:22|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:81:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000
+[06-21 15:45:22|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:109:load_model_from_checkpoint] Setting load_teacher_weights=False for inference to skip teacher checkpoint download
+[06-21 15:45:22|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:94:__init__] Setting precision to torch.bfloat16
+[06-21 15:45:22|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 15:45:22|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 15:45:22|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:45:23|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 15:45:23|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 15:45:23|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 15:45:23|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 15:45:23|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 15:45:23|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:45:27|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 15:45:27|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 15:45:27|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 15:45:27|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.66 s
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:231:build_model] 
+
+==============config condition_postprocessor: {'hint_keys': ['edge'], '_target_': <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>}
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:232:build_model] 
+
+==============condition_postprocessor: <cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor object at 0x7f1018724130>
+[06-21 15:45:28|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_model: 6.71 s
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.65 s
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:45:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:45:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.65 s
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:86:build_model] ==========Instantiating networks...==========
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:87:build_model] net: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:88:build_model] net_teacher: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:89:build_model] net_fake_score: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:128:build_model] Freezing the CR1 embedding projection layer in student net..
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:132:build_model] Freezing the CR1 embedding projection layer in fake score net..
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:135:build_model] Freezing teacher net..
+[06-21 15:45:30|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:119:setup_loss_specs] Using mean loss reduce with loss scale 1.0
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 8.06 s
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 15:45:30|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:214:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/bbaeedb2b57cc8b14a44653099e2551adb69dcc7/distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 15:45:31|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:173:_process_pt_state_dict_for_ema] Loading EMA-exported checkpoint with net.* keys directly
+[06-21 15:45:31|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:408:load_state_dict] load model in non-strict mode
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:45:31|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:409:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 15:45:31|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:819:load_state_dict] load fake score model in non-strict mode
+[06-21 15:45:31|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:820:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['accum_video_sample_counter', 'accum_image_sample_counter', 'accum_iteration', 'accum_train_in_hours', 'x_embedder.proj.1.weight', 'pos_embedder.seq', 'pos_embedder.dim_spatial_range', 'pos_embedder.dim_temporal_range', 't_embedder.1.linear_1.weight', 't_embedder.1.linear_2.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.linear.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.1.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.2.weight', 't_embedding_norm.weight', 'crossattn_proj.0.weight', 'crossattn_proj.0.bias', 'control_embedder.proj.1.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.bias'], unexpected_keys=[], incorrect_shapes=[])
+[06-21 15:45:31|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 15:45:31|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 15:45:31|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 15:45:31|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.1_rm1/config.yaml
+[06-21 15:45:31|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_weather_distilled_step4_bg0.1_rm1']
+[06-21 15:45:31|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_weather_distilled_step4_bg0.1_rm1
+[06-21 15:45:31|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='rainy_weather_distilled_step4_bg0.1_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=4 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 15:45:31|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.1_rm1/rainy_weather_distilled_step4_bg0.1_rm1.json
+[06-21 15:45:31|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 15:45:31|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 15:45:31|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 15:45:31|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4
+[06-21 15:45:32|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 15:45:32|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 15:45:32|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 15:45:32|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 15:45:32|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 15:45:32|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4
+[06-21 15:45:32|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 15:45:32|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 15:45:32|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 15:46:09|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 15:46:09|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 15:46:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 31.72594420646783
+[06-21 15:46:37|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 15:46:38|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 15:46:39|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.1_rm1/rainy_weather_distilled_step4_bg0.1_rm1_control_edge.mp4
+[06-21 15:46:39|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 15:46:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 15:46:40|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.1_rm1/rainy_weather_distilled_step4_bg0.1_rm1.mp4
diff --git a/test/rainy/weather/distilled_step4_bg0.1_rm1/rainy_weather_distilled_step4_bg0.1_rm1.json b/test/rainy/weather/distilled_step4_bg0.1_rm1/rainy_weather_distilled_step4_bg0.1_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..aba5c6f71e5c848722432345f66bdadf0e4b9936
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.1_rm1/rainy_weather_distilled_step4_bg0.1_rm1.json
@@ -0,0 +1 @@
+{"name":"rainy_weather_distilled_step4_bg0.1_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":4,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/rainy/weather/distilled_step4_bg0.1_rm1/rainy_weather_distilled_step4_bg0.1_rm1.mp4 b/test/rainy/weather/distilled_step4_bg0.1_rm1/rainy_weather_distilled_step4_bg0.1_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..8b0b7d4d2ce5185b30e4f8d17c2ed75c35f923a7
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.1_rm1/rainy_weather_distilled_step4_bg0.1_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f9079b3bed869e6d933ba03421a9acd2ff714c055bdf43d478cae7b61ed622de
+size 3718448
diff --git a/test/rainy/weather/distilled_step4_bg0.1_rm1/rainy_weather_distilled_step4_bg0.1_rm1.txt b/test/rainy/weather/distilled_step4_bg0.1_rm1/rainy_weather_distilled_step4_bg0.1_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4987ef5fda9ebef26e8337960223fe1a39f70c28
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.1_rm1/rainy_weather_distilled_step4_bg0.1_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.
\ No newline at end of file
diff --git a/test/rainy/weather/distilled_step4_bg0.1_rm1/rainy_weather_distilled_step4_bg0.1_rm1_control_edge.mp4 b/test/rainy/weather/distilled_step4_bg0.1_rm1/rainy_weather_distilled_step4_bg0.1_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..3d26387ac3b10e58e0ccf5d217c25453be731eef
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.1_rm1/rainy_weather_distilled_step4_bg0.1_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dc0a0df691bf27491874ae8aa19c94186b1824969467acc8e5ec0befdad2d3db
+size 2163198
diff --git a/test/rainy/weather/distilled_step4_bg0.1_rm1/spec.json b/test/rainy/weather/distilled_step4_bg0.1_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..aaebc572eddca4b02a1b68a6305792c07b7db7c9
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.1_rm1/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "rainy_weather_distilled_step4_bg0.1_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 4,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.1_rm1.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows."
+}
\ No newline at end of file
diff --git a/test/rainy/weather/distilled_step4_bg0.5_rm1/config.yaml b/test/rainy/weather/distilled_step4_bg0.5_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..7ee2ae1cfaca80274fb632935542fb8585c7e12c
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.5_rm1/config.yaml
@@ -0,0 +1,956 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: ''
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '500'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'True'
+  type:
+    _target_: <class 'cosmos_transfer2._src.interactive.checkpointer.dcp_distill.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f51ecab2dd0>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f51ecab2f80>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f51ecab2dd0>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f51ecab32e0>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val: null
+defaults:
+- _self_
+- data_train: null
+- data_val: null
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- callbacks: basic
+- model: ddp
+- net: null
+- net_fake_score: null
+- net_teacher: null
+- net_discriminator_head: null
+- conditioner: video_prediction_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dcp_distill
+- condition_postprocessor: null
+- experiment: null
+job:
+  cluster: null
+  group: cosmos3_interactive
+  name: dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge
+  project: cosmos_interactive
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.interactive.methods.distribution_matching.dmd2.DMD2Model'>
+  config:
+    base_load_from: null
+    condition_postprocessor:
+      _target_: <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>
+      hint_keys:
+      - edge
+    conditional_frames_probs:
+      0: 0.6
+      1: 0.2
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditioner'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    grad_clip: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    intermediate_feature_ids: null
+    load_teacher_weights: false
+    loss_reduce: mean
+    loss_scale_GAN_discriminator: 1.0
+    loss_scale_GAN_generator: 1.0
+    loss_scale_fake_score: 1.0
+    loss_scale_sid: 1.0
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    multiply_noise_by_video_len: true
+    neg_embed_path: ''
+    neg_prompt_str: The video captures a game playing, with bad crappy graphics and
+      cartoonish frames. It represents a recording of old outdated games. The lighting
+      looks very fake. The textures are very raw and basic. The geometries are very
+      primitive. The images are very pixelated and of poor CG quality. There are many
+      subtitles in the footage. Overall, the video is unrealistic at all.
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_discriminator_head: null
+    net_fake_score:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_teacher:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    noise_level_parameterization: trigflow
+    optimizer_discriminator_config:
+      _target_: <function get_base_optimizer at 0x7f523dfd9cf0>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    optimizer_fake_score_config:
+      _target_: <function get_base_optimizer at 0x7f523dfd9cf0>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    precision: bfloat16
+    rectified_flow_loss_weight_uniform: false
+    rectified_flow_t_scaling_factor: 1.0
+    replace_cond_output_with_gt: true
+    resolution: '720'
+    scaling: rectified_flow
+    sde:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '-0.8'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    sde_D:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '0.0'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    selected_sampling_time:
+    - 1.5707963267948966
+    - 1.5042281630190728
+    - 1.373400766945016
+    - 1.0303768265243125
+    sigma_conditional: 0.0001
+    sigma_data: 1.0
+    state_ch: 16
+    state_t: 24
+    student_load_from: null
+    student_update_freq: 5
+    teacher_guidance: 3.0
+    teacher_load_from:
+      credentials: credentials/s3_checkpoint.secret
+      load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_nonuniform_hqv3p1_20250714_64N_rectified_flow/checkpoints/iter_000029000/model
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f52426879a0>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    timestep_shift: 5.0
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+    use_clean_cond_timesteps: true
+    use_neg_prompt_str: false
+    use_torch_compile: false
+    vis_debug: false
+    warmup_steps: 1
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 4
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f523dfd9cf0>
+  betas:
+  - '0.9'
+  - '0.999'
+  capturable: 'True'
+  eps: 1e-08
+  lr: 1e-06
+  master_weights: 'True'
+  model: null
+  optim_type: fusedadam
+  weight_decay: '0.01'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '400000'
+  f_max:
+  - '0.99'
+  f_min:
+  - '0.4'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '10'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'True'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'False'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '1.0'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '10'
+      hit_thres: '100'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '5'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '10'
+  max_iter: '30000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'False'
+    max_diff: '2.0'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.interactive.trainer.trainer_distillation.ImaginaireDistillationTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/rainy/weather/distilled_step4_bg0.5_rm1/console.log b/test/rainy/weather/distilled_step4_bg0.5_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..49ec3a9f53647f18a16bcc70f0384a0eca135d29
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.5_rm1/console.log
@@ -0,0 +1,22 @@
+[06-21 15:47:19|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 15:47:19|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 15:47:20|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 15:47:20|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:47:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 15:47:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:47:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 15:47:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 15:47:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 15:47:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 15:47:29|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 15:47:29|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 15:47:29|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.5_rm1/config.yaml
+[06-21 15:47:29|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_weather_distilled_step4_bg0.5_rm1']
+[06-21 15:47:29|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_weather_distilled_step4_bg0.5_rm1
+[06-21 15:47:29|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.5_rm1/rainy_weather_distilled_step4_bg0.5_rm1.json
+[06-21 15:47:29|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 15:47:29|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 15:48:35|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 15:48:36|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.5_rm1/rainy_weather_distilled_step4_bg0.5_rm1_control_edge.mp4
+[06-21 15:48:36|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 15:48:38|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.5_rm1/rainy_weather_distilled_step4_bg0.5_rm1.mp4
diff --git a/test/rainy/weather/distilled_step4_bg0.5_rm1/debug.log b/test/rainy/weather/distilled_step4_bg0.5_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..dd54edcec2958ae81484dcd669c63fcbf25012cf
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.5_rm1/debug.log
@@ -0,0 +1,1484 @@
+[06-21 15:47:06|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=True)
+[06-21 15:47:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 15:47:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 15:47:18|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 15:47:18|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 15:47:18|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.5_rm1') model='edge/distilled' checkpoint_path='s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000' experiment='dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge' config_file='cosmos_transfer2/_src/interactive/configs/registry_transfer2p5.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 15:47:19|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 15:47:19|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 15:47:19|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 15:47:19|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 15:47:19|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 15:47:19|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 15:47:19|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 15:47:19|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 15:47:19|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 15:47:19|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 15:47:19|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 15:47:19|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.interactive.configs.registry_experiment
+[06-21 15:47:19|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiment_list
+[06-21 15:47:19|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_ac_predict2p5
+[06-21 15:47:19|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 15:47:19|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 15:47:19|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_predict2p5
+[06-21 15:47:19|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_transfer2p5
+[06-21 15:47:19|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_knowledge_distill_ac_predict2p5
+[06-21 15:47:19|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_self_forcing_ac_predict2p5
+[06-21 15:47:20|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 15:47:20|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:81:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000
+[06-21 15:47:20|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:109:load_model_from_checkpoint] Setting load_teacher_weights=False for inference to skip teacher checkpoint download
+[06-21 15:47:20|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:94:__init__] Setting precision to torch.bfloat16
+[06-21 15:47:20|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 15:47:20|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 15:47:20|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:47:20|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 15:47:20|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 15:47:21|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 15:47:21|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 15:47:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 15:47:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:47:24|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 15:47:24|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 15:47:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 15:47:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 15:47:25|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.66 s
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:231:build_model] 
+
+==============config condition_postprocessor: {'hint_keys': ['edge'], '_target_': <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>}
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:232:build_model] 
+
+==============condition_postprocessor: <cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor object at 0x7f51ec8a5d20>
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_model: 6.53 s
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:47:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.65 s
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:47:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.67 s
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:86:build_model] ==========Instantiating networks...==========
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:87:build_model] net: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:88:build_model] net_teacher: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:89:build_model] net_fake_score: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:128:build_model] Freezing the CR1 embedding projection layer in student net..
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:132:build_model] Freezing the CR1 embedding projection layer in fake score net..
+[06-21 15:47:27|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:135:build_model] Freezing teacher net..
+[06-21 15:47:27|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:119:setup_loss_specs] Using mean loss reduce with loss scale 1.0
+[06-21 15:47:28|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 7.89 s
+[06-21 15:47:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 15:47:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 15:47:28|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:214:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/bbaeedb2b57cc8b14a44653099e2551adb69dcc7/distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 15:47:29|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:173:_process_pt_state_dict_for_ema] Loading EMA-exported checkpoint with net.* keys directly
+[06-21 15:47:29|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:408:load_state_dict] load model in non-strict mode
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:47:29|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:409:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 15:47:29|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:819:load_state_dict] load fake score model in non-strict mode
+[06-21 15:47:29|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:820:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['accum_video_sample_counter', 'accum_image_sample_counter', 'accum_iteration', 'accum_train_in_hours', 'x_embedder.proj.1.weight', 'pos_embedder.seq', 'pos_embedder.dim_spatial_range', 'pos_embedder.dim_temporal_range', 't_embedder.1.linear_1.weight', 't_embedder.1.linear_2.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.linear.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.1.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.2.weight', 't_embedding_norm.weight', 'crossattn_proj.0.weight', 'crossattn_proj.0.bias', 'control_embedder.proj.1.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.bias'], unexpected_keys=[], incorrect_shapes=[])
+[06-21 15:47:29|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 15:47:29|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 15:47:29|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 15:47:29|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.5_rm1/config.yaml
+[06-21 15:47:29|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['rainy_weather_distilled_step4_bg0.5_rm1']
+[06-21 15:47:29|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample rainy_weather_distilled_step4_bg0.5_rm1
+[06-21 15:47:29|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='rainy_weather_distilled_step4_bg0.5_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=4 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 15:47:29|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.5_rm1/rainy_weather_distilled_step4_bg0.5_rm1.json
+[06-21 15:47:29|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 15:47:29|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 15:47:29|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 15:47:29|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4
+[06-21 15:47:29|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 15:47:29|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 15:47:29|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 15:47:29|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 15:47:29|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 15:47:29|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4
+[06-21 15:47:30|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 15:47:30|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 15:47:30|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 15:48:07|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 15:48:07|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 15:48:35|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 31.71101951599121
+[06-21 15:48:35|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 15:48:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 15:48:36|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.5_rm1/rainy_weather_distilled_step4_bg0.5_rm1_control_edge.mp4
+[06-21 15:48:36|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 15:48:36|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 15:48:38|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/rainy/weather/distilled_step4_bg0.5_rm1/rainy_weather_distilled_step4_bg0.5_rm1.mp4
diff --git a/test/rainy/weather/distilled_step4_bg0.5_rm1/rainy_weather_distilled_step4_bg0.5_rm1.json b/test/rainy/weather/distilled_step4_bg0.5_rm1/rainy_weather_distilled_step4_bg0.5_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..2e680b2b66033ad8793ca70c180b84b376ea9b39
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.5_rm1/rainy_weather_distilled_step4_bg0.5_rm1.json
@@ -0,0 +1 @@
+{"name":"rainy_weather_distilled_step4_bg0.5_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":4,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/rainy/weather/distilled_step4_bg0.5_rm1/rainy_weather_distilled_step4_bg0.5_rm1.mp4 b/test/rainy/weather/distilled_step4_bg0.5_rm1/rainy_weather_distilled_step4_bg0.5_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..e76e5787ab03228f64b195f71b8fe6fbd89ff67b
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.5_rm1/rainy_weather_distilled_step4_bg0.5_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c70638ad94d19c914c91783b004b76de5f1d2fa2c81fd3622d3672480bf72435
+size 3495441
diff --git a/test/rainy/weather/distilled_step4_bg0.5_rm1/rainy_weather_distilled_step4_bg0.5_rm1.txt b/test/rainy/weather/distilled_step4_bg0.5_rm1/rainy_weather_distilled_step4_bg0.5_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4987ef5fda9ebef26e8337960223fe1a39f70c28
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.5_rm1/rainy_weather_distilled_step4_bg0.5_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.
\ No newline at end of file
diff --git a/test/rainy/weather/distilled_step4_bg0.5_rm1/rainy_weather_distilled_step4_bg0.5_rm1_control_edge.mp4 b/test/rainy/weather/distilled_step4_bg0.5_rm1/rainy_weather_distilled_step4_bg0.5_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..5fc5f4b057f706d7a54074ed1ded7dfa297ca3fb
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.5_rm1/rainy_weather_distilled_step4_bg0.5_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c49968d42faa0f81106ab6e92fceb2d588c040f9c4603f3d5822f112aa2bddeb
+size 2200693
diff --git a/test/rainy/weather/distilled_step4_bg0.5_rm1/spec.json b/test/rainy/weather/distilled_step4_bg0.5_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..4184f8728096fc563c754c4e0824cc0a1e81f206
--- /dev/null
+++ b/test/rainy/weather/distilled_step4_bg0.5_rm1/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "rainy_weather_distilled_step4_bg0.5_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera during heavy rain. A flat overcast grey sky hangs low over the scene, the asphalt is dark, wet and mirror-like with rippling puddles and reflections of the surroundings, rain streaks the air and droplets bead on surfaces. The painted lane markings, stop lines and pedestrian crosswalks show through the glossy wet road. Multiple vehicles move through the junction with headlights on, low-rise buildings, sidewalks and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, moody overcast lighting, detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000_rainy/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 4,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/rainy/edge_bg0.5_rm1.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Bright sunlight, blue sky, dry road, hard crisp shadows."
+}
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_bg0.1_rm0.5/config.yaml b/test/sunny/Building/2b_step35_bg0.1_rm0.5/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..efe863bc8ac89fdc9f4630d28cead77c3741889d
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.1_rm0.5/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f9d910f3250>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f9d910f3250>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f9d910f3370>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f9d910f3910>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f9d910f3370>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f9d910f3d00>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f9d955db910>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f9d910183a0>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/sunny/Building/2b_step35_bg0.1_rm0.5/console.log b/test/sunny/Building/2b_step35_bg0.1_rm0.5/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..316ccd348047ef47afe8cc3b45ac651cad1c82ef
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.1_rm0.5/console.log
@@ -0,0 +1,18 @@
+[06-21 14:34:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 14:34:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:34:41|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 14:34:41|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:34:45|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 14:34:45|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 14:34:47|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 14:34:47|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.1_rm0.5/config.yaml
+[06-21 14:34:47|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_2b_step35_bg0.1_rm0.5']
+[06-21 14:34:47|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_2b_step35_bg0.1_rm0.5
+[06-21 14:34:47|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.1_rm0.5/sunny_Building_2b_step35_bg0.1_rm0.5.json
+[06-21 14:34:47|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 14:34:47|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 14:45:17|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.1_rm0.5/sunny_Building_2b_step35_bg0.1_rm0.5_control_edge.mp4
+[06-21 14:45:17|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 14:45:19|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.1_rm0.5/sunny_Building_2b_step35_bg0.1_rm0.5.mp4
diff --git a/test/sunny/Building/2b_step35_bg0.1_rm0.5/debug.log b/test/sunny/Building/2b_step35_bg0.1_rm0.5/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..8be2ca6d028984fde3da735d2331d1a74a9580c4
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.1_rm0.5/debug.log
@@ -0,0 +1,973 @@
+[06-21 14:34:22|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 14:34:23|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 14:34:23|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 14:34:34|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 14:34:34|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 14:34:34|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.1_rm0.5') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 14:34:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 14:34:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 14:34:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 14:34:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 14:34:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 14:34:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 14:34:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 14:34:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 14:34:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 14:34:35|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 14:34:35|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 14:34:35|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 14:34:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 14:34:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 14:34:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 14:34:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 14:34:35|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 14:34:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 14:34:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 14:34:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 14:34:35|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 14:34:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 14:34:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 14:34:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 14:34:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 14:34:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 14:34:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 14:34:35|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 14:34:35|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 14:34:35|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 14:34:35|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 14:34:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 14:34:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 14:34:36|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 14:34:36|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 0.98 s
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.08 s
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.84 s
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.12 s
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.12 s
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 14:34:40|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:34:41|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 14:34:41|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 14:34:41|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 14:34:41|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 14:34:41|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 14:34:41|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:34:45|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 14:34:45|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 14:34:45|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 14:34:45|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 9.86 s
+[06-21 14:34:45|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 14:34:45|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 14:34:46|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 14:34:47|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:34:47|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 14:34:47|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 14:34:47|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 14:34:47|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 14:34:47|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 14:34:47|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.1_rm0.5/config.yaml
+[06-21 14:34:47|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_2b_step35_bg0.1_rm0.5']
+[06-21 14:34:47|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_2b_step35_bg0.1_rm0.5
+[06-21 14:34:47|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_Building_2b_step35_bg0.1_rm0.5' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 14:34:47|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.1_rm0.5/sunny_Building_2b_step35_bg0.1_rm0.5.json
+[06-21 14:34:47|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 14:34:47|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 14:34:47|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 14:34:47|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4
+[06-21 14:34:47|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 14:34:47|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 14:34:47|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 14:34:47|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 14:34:47|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 14:34:47|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 14:34:47|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4
+[06-21 14:34:47|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 179
+[06-21 14:34:48|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 14:34:48|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 14:34:48|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 14:34:48|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 14:34:48|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:34:48|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 14:34:48|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:35:06|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:40:12|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 14:40:12|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 14:40:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 14:40:12|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 14:40:12|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:40:12|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 14:40:12|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:40:15|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:45:16|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 313.3993654923979
+[06-21 14:45:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 14:45:17|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.1_rm0.5/sunny_Building_2b_step35_bg0.1_rm0.5_control_edge.mp4
+[06-21 14:45:17|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 14:45:18|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 14:45:19|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.1_rm0.5/sunny_Building_2b_step35_bg0.1_rm0.5.mp4
diff --git a/test/sunny/Building/2b_step35_bg0.1_rm0.5/spec.json b/test/sunny/Building/2b_step35_bg0.1_rm0.5/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..918ef3da4db213e977d8d66528a7a43a5fc39908
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.1_rm0.5/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "sunny_Building_2b_step35_bg0.1_rm0.5",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures."
+}
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_bg0.1_rm0.5/sunny_Building_2b_step35_bg0.1_rm0.5.json b/test/sunny/Building/2b_step35_bg0.1_rm0.5/sunny_Building_2b_step35_bg0.1_rm0.5.json
new file mode 100644
index 0000000000000000000000000000000000000000..3e0ece63266be244f5fa14d9e8d4fbf3db0670c8
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.1_rm0.5/sunny_Building_2b_step35_bg0.1_rm0.5.json
@@ -0,0 +1 @@
+{"name":"sunny_Building_2b_step35_bg0.1_rm0.5","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_bg0.1_rm0.5/sunny_Building_2b_step35_bg0.1_rm0.5.mp4 b/test/sunny/Building/2b_step35_bg0.1_rm0.5/sunny_Building_2b_step35_bg0.1_rm0.5.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..322d5d29bff8713d6098a4d0531d53bdf33a3914
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.1_rm0.5/sunny_Building_2b_step35_bg0.1_rm0.5.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8360d68cbe9ee9d3129db76c01ec127dfeb68a93dee904b602667e0604ac421e
+size 2181794
diff --git a/test/sunny/Building/2b_step35_bg0.1_rm0.5/sunny_Building_2b_step35_bg0.1_rm0.5.txt b/test/sunny/Building/2b_step35_bg0.1_rm0.5/sunny_Building_2b_step35_bg0.1_rm0.5.txt
new file mode 100644
index 0000000000000000000000000000000000000000..20a963b13c72a11374e0cef9d7e75383860a19e6
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.1_rm0.5/sunny_Building_2b_step35_bg0.1_rm0.5.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_bg0.1_rm0.5/sunny_Building_2b_step35_bg0.1_rm0.5_control_edge.mp4 b/test/sunny/Building/2b_step35_bg0.1_rm0.5/sunny_Building_2b_step35_bg0.1_rm0.5_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..31517dea0588b3196cdefd6c05d01c13532f321a
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.1_rm0.5/sunny_Building_2b_step35_bg0.1_rm0.5_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82d37f9770a7b373f8f9fb16267abb84131023d9ecda8dcc622bb8cf91dbfb93
+size 1419864
diff --git a/test/sunny/Building/2b_step35_bg0.1_rm1/config.yaml b/test/sunny/Building/2b_step35_bg0.1_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..da95c05177d024ed6ec702226d81e7df563dd9aa
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.1_rm1/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fdf3dc03250>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fdf3dc03250>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fdf3dc03370>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7fdf3dc03910>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fdf3dc03370>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7fdf3dc03d00>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7fdf420eb910>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7fdf3db38550>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/sunny/Building/2b_step35_bg0.1_rm1/console.log b/test/sunny/Building/2b_step35_bg0.1_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..86b8f6a5cdd150f238a21c5b1f78a4700aa67ae0
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.1_rm1/console.log
@@ -0,0 +1,18 @@
+[06-21 14:45:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 14:45:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:45:42|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 14:45:42|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:45:46|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 14:45:46|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 14:45:47|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 14:45:48|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.1_rm1/config.yaml
+[06-21 14:45:48|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_2b_step35_bg0.1_rm1']
+[06-21 14:45:48|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_2b_step35_bg0.1_rm1
+[06-21 14:45:48|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.1_rm1/sunny_Building_2b_step35_bg0.1_rm1.json
+[06-21 14:45:48|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 14:45:48|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 14:56:20|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.1_rm1/sunny_Building_2b_step35_bg0.1_rm1_control_edge.mp4
+[06-21 14:56:20|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 14:56:22|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.1_rm1/sunny_Building_2b_step35_bg0.1_rm1.mp4
diff --git a/test/sunny/Building/2b_step35_bg0.1_rm1/debug.log b/test/sunny/Building/2b_step35_bg0.1_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..50f9106c1094056b2b7ee0c9cc447eb343242467
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.1_rm1/debug.log
@@ -0,0 +1,973 @@
+[06-21 14:45:22|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 14:45:23|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 14:45:23|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 14:45:34|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 14:45:34|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 14:45:35|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.1_rm1') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 14:45:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 14:45:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 14:45:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 14:45:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 14:45:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 14:45:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 14:45:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 14:45:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 14:45:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 14:45:35|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 14:45:35|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 14:45:35|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 14:45:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 14:45:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 14:45:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 14:45:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 14:45:35|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 14:45:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 14:45:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 14:45:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 14:45:35|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 14:45:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 14:45:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 14:45:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 14:45:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 14:45:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 14:45:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 14:45:35|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 14:45:36|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 14:45:36|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 14:45:36|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 14:45:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 14:45:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 14:45:37|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 14:45:37|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 1.29 s
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:45:40|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:45:40|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.08 s
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.84 s
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.13 s
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.13 s
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 14:45:41|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:45:42|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 14:45:42|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 14:45:42|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 14:45:42|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 14:45:42|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 14:45:42|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:45:46|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 14:45:46|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 14:45:46|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 14:45:46|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 10.19 s
+[06-21 14:45:46|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 14:45:46|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 14:45:46|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 14:45:47|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:45:47|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 14:45:47|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 14:45:47|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 14:45:47|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 14:45:47|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 14:45:48|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.1_rm1/config.yaml
+[06-21 14:45:48|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_2b_step35_bg0.1_rm1']
+[06-21 14:45:48|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_2b_step35_bg0.1_rm1
+[06-21 14:45:48|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_Building_2b_step35_bg0.1_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 14:45:48|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.1_rm1/sunny_Building_2b_step35_bg0.1_rm1.json
+[06-21 14:45:48|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 14:45:48|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 14:45:48|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 14:45:48|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4
+[06-21 14:45:48|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 14:45:48|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 14:45:48|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 14:45:48|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 14:45:48|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 14:45:48|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 14:45:48|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4
+[06-21 14:45:48|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 14:45:48|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 14:45:48|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 14:45:48|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 14:45:48|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 14:45:48|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:45:48|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 14:45:48|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:46:06|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:51:13|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 14:51:13|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 14:51:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 14:51:13|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 14:51:13|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:51:13|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 14:51:13|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:51:15|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:56:18|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 314.0020832455484
+[06-21 14:56:19|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 14:56:20|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.1_rm1/sunny_Building_2b_step35_bg0.1_rm1_control_edge.mp4
+[06-21 14:56:20|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 14:56:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 14:56:22|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.1_rm1/sunny_Building_2b_step35_bg0.1_rm1.mp4
diff --git a/test/sunny/Building/2b_step35_bg0.1_rm1/spec.json b/test/sunny/Building/2b_step35_bg0.1_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..30c82c4533c5b9ce6479bfba646bf0f633a3a316
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.1_rm1/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "sunny_Building_2b_step35_bg0.1_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures."
+}
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_bg0.1_rm1/sunny_Building_2b_step35_bg0.1_rm1.json b/test/sunny/Building/2b_step35_bg0.1_rm1/sunny_Building_2b_step35_bg0.1_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..636cfff13fedfdc804d99b0d6e853dbc0beef359
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.1_rm1/sunny_Building_2b_step35_bg0.1_rm1.json
@@ -0,0 +1 @@
+{"name":"sunny_Building_2b_step35_bg0.1_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_bg0.1_rm1/sunny_Building_2b_step35_bg0.1_rm1.mp4 b/test/sunny/Building/2b_step35_bg0.1_rm1/sunny_Building_2b_step35_bg0.1_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..060139c27053b104b567677478324fa109e74c3c
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.1_rm1/sunny_Building_2b_step35_bg0.1_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a4f7fd19177f547fcf7f8a8b814c23d57f2ed5e543d22c9ad9412a20ef7d7f8
+size 6531557
diff --git a/test/sunny/Building/2b_step35_bg0.1_rm1/sunny_Building_2b_step35_bg0.1_rm1.txt b/test/sunny/Building/2b_step35_bg0.1_rm1/sunny_Building_2b_step35_bg0.1_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..20a963b13c72a11374e0cef9d7e75383860a19e6
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.1_rm1/sunny_Building_2b_step35_bg0.1_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_bg0.1_rm1/sunny_Building_2b_step35_bg0.1_rm1_control_edge.mp4 b/test/sunny/Building/2b_step35_bg0.1_rm1/sunny_Building_2b_step35_bg0.1_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..4e05a50fa2ad1e0a28d85922afab1e6c5bb0bdb6
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.1_rm1/sunny_Building_2b_step35_bg0.1_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1118d385e00f89199bfa15fd4a05d2585b49ee3c84a34000045d27417dd720e7
+size 1818642
diff --git a/test/sunny/Building/2b_step35_bg0.5_rm1/config.yaml b/test/sunny/Building/2b_step35_bg0.5_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e43441ed9e20b079dbbcc497a7aae4effba85c8b
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.5_rm1/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f8ee95e72e0>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f8ee95e72e0>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f8ee95e7400>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f8ee95e79a0>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f8ee95e7400>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f8ee95e7d90>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f8eedacb9a0>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f8ee970c5e0>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/sunny/Building/2b_step35_bg0.5_rm1/console.log b/test/sunny/Building/2b_step35_bg0.5_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..8fcceeca4135b9223b1bab1551c33158c2467123
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.5_rm1/console.log
@@ -0,0 +1,18 @@
+[06-21 14:57:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 14:57:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:57:43|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 14:57:43|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:57:47|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 14:57:47|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 14:57:49|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 14:57:49|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.5_rm1/config.yaml
+[06-21 14:57:49|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_2b_step35_bg0.5_rm1']
+[06-21 14:57:49|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_2b_step35_bg0.5_rm1
+[06-21 14:57:49|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.5_rm1/sunny_Building_2b_step35_bg0.5_rm1.json
+[06-21 14:57:49|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 14:57:49|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 15:08:20|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.5_rm1/sunny_Building_2b_step35_bg0.5_rm1_control_edge.mp4
+[06-21 15:08:20|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 15:08:22|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.5_rm1/sunny_Building_2b_step35_bg0.5_rm1.mp4
diff --git a/test/sunny/Building/2b_step35_bg0.5_rm1/debug.log b/test/sunny/Building/2b_step35_bg0.5_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..65165f43e95ff39469f622bde07d75392faa0dfe
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.5_rm1/debug.log
@@ -0,0 +1,973 @@
+[06-21 14:57:14|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 14:57:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 14:57:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 14:57:33|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 14:57:34|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 14:57:34|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.5_rm1') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 14:57:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 14:57:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 14:57:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 14:57:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 14:57:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 14:57:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 14:57:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 14:57:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 14:57:35|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 14:57:35|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 14:57:35|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 14:57:35|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 14:57:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 14:57:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 14:57:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 14:57:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 14:57:35|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 14:57:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 14:57:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 14:57:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 14:57:35|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 14:57:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 14:57:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 14:57:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 14:57:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 14:57:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 14:57:35|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 14:57:36|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 14:57:36|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 14:57:36|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 14:57:36|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 14:57:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 14:57:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 14:57:38|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 14:57:38|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 1.93 s
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:57:41|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:41|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:42|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:42|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:42|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:42|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:42|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:42|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:42|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:42|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:42|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:42|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:42|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:42|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:42|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:42|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:42|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:57:42|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:42|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.12 s
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.89 s
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.32 s
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.32 s
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 14:57:42|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:57:43|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 14:57:43|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 14:57:43|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 14:57:43|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 14:57:43|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 14:57:43|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:57:47|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 14:57:47|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 14:57:47|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 14:57:47|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 11.24 s
+[06-21 14:57:47|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 14:57:47|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 14:57:47|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 14:57:48|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:57:49|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 14:57:49|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 14:57:49|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 14:57:49|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 14:57:49|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 14:57:49|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.5_rm1/config.yaml
+[06-21 14:57:49|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_2b_step35_bg0.5_rm1']
+[06-21 14:57:49|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_2b_step35_bg0.5_rm1
+[06-21 14:57:49|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_Building_2b_step35_bg0.5_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 14:57:49|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.5_rm1/sunny_Building_2b_step35_bg0.5_rm1.json
+[06-21 14:57:49|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 14:57:49|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 14:57:49|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 14:57:49|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4
+[06-21 14:57:49|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 14:57:49|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 14:57:49|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 14:57:49|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 14:57:49|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 14:57:49|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 14:57:49|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4
+[06-21 14:57:49|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 14:57:49|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 14:57:49|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 14:57:50|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 14:57:50|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 14:57:50|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:57:50|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 14:57:50|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:58:08|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:03:14|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 15:03:14|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 15:03:14|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 15:03:14|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 15:03:14|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:03:14|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 15:03:14|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:03:16|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:08:19|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 313.81643717642874
+[06-21 15:08:19|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 15:08:20|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.5_rm1/sunny_Building_2b_step35_bg0.5_rm1_control_edge.mp4
+[06-21 15:08:20|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 15:08:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 15:08:22|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_bg0.5_rm1/sunny_Building_2b_step35_bg0.5_rm1.mp4
diff --git a/test/sunny/Building/2b_step35_bg0.5_rm1/spec.json b/test/sunny/Building/2b_step35_bg0.5_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..3246a162d3dbaaa0ff3cf0e60220a9dc8732ab42
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.5_rm1/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "sunny_Building_2b_step35_bg0.5_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures."
+}
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_bg0.5_rm1/sunny_Building_2b_step35_bg0.5_rm1.json b/test/sunny/Building/2b_step35_bg0.5_rm1/sunny_Building_2b_step35_bg0.5_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..c416304989cacb20ca3aadd1ae46f546679a2e08
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.5_rm1/sunny_Building_2b_step35_bg0.5_rm1.json
@@ -0,0 +1 @@
+{"name":"sunny_Building_2b_step35_bg0.5_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_bg0.5_rm1/sunny_Building_2b_step35_bg0.5_rm1.mp4 b/test/sunny/Building/2b_step35_bg0.5_rm1/sunny_Building_2b_step35_bg0.5_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..0c22a8e3cd2c507874e1556e956665462c564872
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.5_rm1/sunny_Building_2b_step35_bg0.5_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:10ad35b935a688a71fa54a56dab6e202993e0d713ebcd03680a7cc2dd6efd3d5
+size 7012659
diff --git a/test/sunny/Building/2b_step35_bg0.5_rm1/sunny_Building_2b_step35_bg0.5_rm1.txt b/test/sunny/Building/2b_step35_bg0.5_rm1/sunny_Building_2b_step35_bg0.5_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..20a963b13c72a11374e0cef9d7e75383860a19e6
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.5_rm1/sunny_Building_2b_step35_bg0.5_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_bg0.5_rm1/sunny_Building_2b_step35_bg0.5_rm1_control_edge.mp4 b/test/sunny/Building/2b_step35_bg0.5_rm1/sunny_Building_2b_step35_bg0.5_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..a7e58d7f057ee0f0db3dd0132c780ecd3d41a7e8
--- /dev/null
+++ b/test/sunny/Building/2b_step35_bg0.5_rm1/sunny_Building_2b_step35_bg0.5_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7a99f3639d51bc435cf50318e1c689dd0c653511fe4a724911e93c08403523ea
+size 1859428
diff --git a/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/config.yaml b/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..afe8ff35817b36a568d1a97dd29b183400081b5f
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fe7cb09b370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fe7cb09b370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fe7cb09b490>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7fe7cb09ba30>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fe7cb09b490>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7fe7cb09be20>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7fe7cf77ba30>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7fe7cb1a44c0>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/console.log b/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..e0ce09d00b88338de0d4fb9e71595af8de3ce3d5
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/console.log
@@ -0,0 +1,18 @@
+[06-21 15:09:05|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 15:09:05|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:09:12|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 15:09:12|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:09:16|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 15:09:16|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 15:09:18|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 15:09:18|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.1_rm0.5/config.yaml
+[06-21 15:09:18|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_2b_step35_masked_bg0.1_rm0.5']
+[06-21 15:09:18|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_2b_step35_masked_bg0.1_rm0.5
+[06-21 15:09:18|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.1_rm0.5/sunny_Building_2b_step35_masked_bg0.1_rm0.5.json
+[06-21 15:09:18|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 15:09:18|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/Building_mask.mp4', 'edge_mask_prompt': None}
+[06-21 15:19:49|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.1_rm0.5/sunny_Building_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4
+[06-21 15:19:49|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 15:19:50|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.1_rm0.5/sunny_Building_2b_step35_masked_bg0.1_rm0.5.mp4
diff --git a/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/debug.log b/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..df40d9179d06285c78432212304f247562e814e7
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/debug.log
@@ -0,0 +1,975 @@
+[06-21 15:08:36|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 15:08:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 15:08:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 15:09:01|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 15:09:02|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 15:09:03|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.1_rm0.5') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 15:09:03|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 15:09:03|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 15:09:03|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 15:09:03|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 15:09:03|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 15:09:03|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 15:09:03|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 15:09:03|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 15:09:03|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 15:09:03|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 15:09:03|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 15:09:03|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 15:09:03|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 15:09:03|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 15:09:04|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 15:09:04|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 15:09:04|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 15:09:04|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 15:09:04|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 15:09:04|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 15:09:04|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 15:09:04|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 15:09:04|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 15:09:04|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 15:09:04|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 15:09:04|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 15:09:04|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 15:09:04|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 15:09:04|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 15:09:04|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 15:09:04|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 15:09:05|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 15:09:05|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 15:09:06|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 15:09:06|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 2.13 s
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:09:10|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:10|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.10 s
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.93 s
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.26 s
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.26 s
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 15:09:11|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:09:12|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 15:09:12|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 15:09:12|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 15:09:12|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 15:09:12|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 15:09:12|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:09:16|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 15:09:16|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 15:09:16|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 15:09:16|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 11.66 s
+[06-21 15:09:16|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 15:09:16|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 15:09:16|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 15:09:17|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:09:17|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 15:09:17|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 15:09:17|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 15:09:18|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 15:09:18|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 15:09:18|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.1_rm0.5/config.yaml
+[06-21 15:09:18|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_2b_step35_masked_bg0.1_rm0.5']
+[06-21 15:09:18|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_2b_step35_masked_bg0.1_rm0.5
+[06-21 15:09:18|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_Building_2b_step35_masked_bg0.1_rm0.5' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4'), control_weight=1.0, mask_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/Building_mask.mp4'), mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 15:09:18|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.1_rm0.5/sunny_Building_2b_step35_masked_bg0.1_rm0.5.json
+[06-21 15:09:18|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 15:09:18|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/Building_mask.mp4', 'edge_mask_prompt': None}
+[06-21 15:09:18|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 15:09:18|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4
+[06-21 15:09:18|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 15:09:18|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 15:09:18|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 15:09:18|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 15:09:18|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 15:09:18|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 15:09:18|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4
+[06-21 15:09:18|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 179
+[06-21 15:09:18|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/Building_mask.mp4
+[06-21 15:09:18|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 15:09:18|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 15:09:18|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 15:09:19|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 15:09:19|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 15:09:19|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:09:19|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 15:09:19|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:09:37|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:14:43|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 15:14:43|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 15:14:43|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 15:14:43|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 15:14:43|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:14:43|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 15:14:43|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:14:46|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:19:48|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 313.7356735684443
+[06-21 15:19:48|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 15:19:49|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.1_rm0.5/sunny_Building_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4
+[06-21 15:19:49|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 15:19:49|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 15:19:50|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.1_rm0.5/sunny_Building_2b_step35_masked_bg0.1_rm0.5.mp4
diff --git a/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/spec.json b/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..b094c4d3388f2b98218a35777c6066a06ff32858
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/spec.json
@@ -0,0 +1,14 @@
+{
+  "name": "sunny_Building_2b_step35_masked_bg0.1_rm0.5",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4",
+    "control_weight": 1.0,
+    "mask_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/Building_mask.mp4"
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures."
+}
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/sunny_Building_2b_step35_masked_bg0.1_rm0.5.json b/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/sunny_Building_2b_step35_masked_bg0.1_rm0.5.json
new file mode 100644
index 0000000000000000000000000000000000000000..b719f5b738566e04893f15e7821e7d87ae1fc1f7
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/sunny_Building_2b_step35_masked_bg0.1_rm0.5.json
@@ -0,0 +1 @@
+{"name":"sunny_Building_2b_step35_masked_bg0.1_rm0.5","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4","control_weight":1.0,"mask_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/Building_mask.mp4","mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/sunny_Building_2b_step35_masked_bg0.1_rm0.5.mp4 b/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/sunny_Building_2b_step35_masked_bg0.1_rm0.5.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..28e192a9d59c4d10603a1e4de8cc314dfea0ca09
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/sunny_Building_2b_step35_masked_bg0.1_rm0.5.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c86a53bca586cdf077e991f725099c3720ba69a721afca7bab8623349989b0a1
+size 2158465
diff --git a/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/sunny_Building_2b_step35_masked_bg0.1_rm0.5.txt b/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/sunny_Building_2b_step35_masked_bg0.1_rm0.5.txt
new file mode 100644
index 0000000000000000000000000000000000000000..20a963b13c72a11374e0cef9d7e75383860a19e6
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/sunny_Building_2b_step35_masked_bg0.1_rm0.5.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/sunny_Building_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4 b/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/sunny_Building_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..5d61c5511c39e785ea87e38ff1d8ab1e19c5c34b
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.1_rm0.5/sunny_Building_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:adfe5546296b1b0c9781030eedb4c4093c741c3728ed0d113a9f65475b075cb3
+size 244721
diff --git a/test/sunny/Building/2b_step35_masked_bg0.1_rm1/config.yaml b/test/sunny/Building/2b_step35_masked_bg0.1_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ec2c480f89870bf1705b8d541fef0b03391cceef
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.1_rm1/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fa2884ef370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fa2884ef370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fa2884ef490>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7fa2884efa30>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fa2884ef490>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7fa2884efe20>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7fa28c9d7a30>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7fa2887e8670>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/sunny/Building/2b_step35_masked_bg0.1_rm1/console.log b/test/sunny/Building/2b_step35_masked_bg0.1_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..b86d39aeca5ccda4538d02da02db5961b4fb255b
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.1_rm1/console.log
@@ -0,0 +1,18 @@
+[06-21 15:20:07|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 15:20:07|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:20:13|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 15:20:13|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:20:17|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 15:20:17|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 15:20:18|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 15:20:18|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.1_rm1/config.yaml
+[06-21 15:20:18|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_2b_step35_masked_bg0.1_rm1']
+[06-21 15:20:18|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_2b_step35_masked_bg0.1_rm1
+[06-21 15:20:18|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.1_rm1/sunny_Building_2b_step35_masked_bg0.1_rm1.json
+[06-21 15:20:18|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 15:20:18|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/Building_mask.mp4', 'edge_mask_prompt': None}
+[06-21 15:30:49|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.1_rm1/sunny_Building_2b_step35_masked_bg0.1_rm1_control_edge.mp4
+[06-21 15:30:49|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 15:30:51|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.1_rm1/sunny_Building_2b_step35_masked_bg0.1_rm1.mp4
diff --git a/test/sunny/Building/2b_step35_masked_bg0.1_rm1/debug.log b/test/sunny/Building/2b_step35_masked_bg0.1_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..3b5c8f4c80d4fc4549e4f8fa4e19e3c486dfa060
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.1_rm1/debug.log
@@ -0,0 +1,975 @@
+[06-21 15:19:53|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 15:19:54|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 15:19:54|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 15:20:05|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 15:20:05|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 15:20:06|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.1_rm1') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 15:20:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 15:20:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 15:20:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 15:20:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 15:20:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 15:20:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 15:20:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 15:20:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 15:20:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 15:20:06|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 15:20:06|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 15:20:06|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 15:20:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 15:20:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 15:20:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 15:20:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 15:20:06|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 15:20:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 15:20:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 15:20:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 15:20:06|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 15:20:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 15:20:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 15:20:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 15:20:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 15:20:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 15:20:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 15:20:06|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 15:20:07|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 15:20:07|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 15:20:07|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 15:20:07|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 15:20:07|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 15:20:08|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 15:20:08|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 1.03 s
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:20:11|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:11|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.07 s
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.84 s
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.11 s
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.11 s
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 15:20:12|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:20:13|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 15:20:13|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 15:20:13|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 15:20:13|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 15:20:13|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 15:20:13|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:20:16|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 15:20:16|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 15:20:16|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 15:20:17|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 9.88 s
+[06-21 15:20:17|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 15:20:17|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 15:20:17|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 15:20:18|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:20:18|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 15:20:18|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 15:20:18|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 15:20:18|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 15:20:18|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 15:20:18|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.1_rm1/config.yaml
+[06-21 15:20:18|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_2b_step35_masked_bg0.1_rm1']
+[06-21 15:20:18|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_2b_step35_masked_bg0.1_rm1
+[06-21 15:20:18|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_Building_2b_step35_masked_bg0.1_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4'), control_weight=1.0, mask_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/Building_mask.mp4'), mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 15:20:18|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.1_rm1/sunny_Building_2b_step35_masked_bg0.1_rm1.json
+[06-21 15:20:18|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 15:20:18|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/Building_mask.mp4', 'edge_mask_prompt': None}
+[06-21 15:20:18|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 15:20:18|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4
+[06-21 15:20:18|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 15:20:19|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 15:20:19|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 15:20:19|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 15:20:19|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 15:20:19|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 15:20:19|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4
+[06-21 15:20:19|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 15:20:19|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/Building_mask.mp4
+[06-21 15:20:19|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 15:20:19|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 15:20:19|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 15:20:19|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 15:20:19|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 15:20:19|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:20:19|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 15:20:19|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:20:37|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:25:44|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 15:25:44|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 15:25:44|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 15:25:44|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 15:25:44|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:25:44|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 15:25:44|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:25:47|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:30:49|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 313.81072038947605
+[06-21 15:30:49|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 15:30:49|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.1_rm1/sunny_Building_2b_step35_masked_bg0.1_rm1_control_edge.mp4
+[06-21 15:30:49|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 15:30:50|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 15:30:51|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.1_rm1/sunny_Building_2b_step35_masked_bg0.1_rm1.mp4
diff --git a/test/sunny/Building/2b_step35_masked_bg0.1_rm1/spec.json b/test/sunny/Building/2b_step35_masked_bg0.1_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..4868a2a3b093704347bc2ce5e38ba9943d1073bc
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.1_rm1/spec.json
@@ -0,0 +1,14 @@
+{
+  "name": "sunny_Building_2b_step35_masked_bg0.1_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4",
+    "control_weight": 1.0,
+    "mask_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/Building_mask.mp4"
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures."
+}
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_masked_bg0.1_rm1/sunny_Building_2b_step35_masked_bg0.1_rm1.json b/test/sunny/Building/2b_step35_masked_bg0.1_rm1/sunny_Building_2b_step35_masked_bg0.1_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..0f101444946b646297dcbc621f2dbe3815a028b1
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.1_rm1/sunny_Building_2b_step35_masked_bg0.1_rm1.json
@@ -0,0 +1 @@
+{"name":"sunny_Building_2b_step35_masked_bg0.1_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4","control_weight":1.0,"mask_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/Building_mask.mp4","mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_masked_bg0.1_rm1/sunny_Building_2b_step35_masked_bg0.1_rm1.mp4 b/test/sunny/Building/2b_step35_masked_bg0.1_rm1/sunny_Building_2b_step35_masked_bg0.1_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..d8e146e9f125fbe745ca2845a62ea56e44958c00
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.1_rm1/sunny_Building_2b_step35_masked_bg0.1_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:639cc9e3fdb8521314f90ee66a919e062339b5f4d81ad88a85eafe97225b3676
+size 1979334
diff --git a/test/sunny/Building/2b_step35_masked_bg0.1_rm1/sunny_Building_2b_step35_masked_bg0.1_rm1.txt b/test/sunny/Building/2b_step35_masked_bg0.1_rm1/sunny_Building_2b_step35_masked_bg0.1_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..20a963b13c72a11374e0cef9d7e75383860a19e6
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.1_rm1/sunny_Building_2b_step35_masked_bg0.1_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_masked_bg0.1_rm1/sunny_Building_2b_step35_masked_bg0.1_rm1_control_edge.mp4 b/test/sunny/Building/2b_step35_masked_bg0.1_rm1/sunny_Building_2b_step35_masked_bg0.1_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..ad156f681a583cd208c5e2ce37c20122790deffc
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.1_rm1/sunny_Building_2b_step35_masked_bg0.1_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5c20e131e064f9a771e23ca487faedf896891a1143f6a48be5f348e6b51ac994
+size 291491
diff --git a/test/sunny/Building/2b_step35_masked_bg0.5_rm1/config.yaml b/test/sunny/Building/2b_step35_masked_bg0.5_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..30803b8eea92d4862bfd694036a7918d7ebb69b0
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.5_rm1/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fd8b8513370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fd8b8513370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fd8b8513490>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7fd8b8513a30>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fd8b8513490>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7fd8b8513e20>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7fd8bc9ffa30>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7fd8b8424670>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/sunny/Building/2b_step35_masked_bg0.5_rm1/console.log b/test/sunny/Building/2b_step35_masked_bg0.5_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..2af82e0415fdd50c1435b33fbb31765f24ce4386
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.5_rm1/console.log
@@ -0,0 +1,18 @@
+[06-21 15:31:08|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 15:31:08|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:31:14|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 15:31:14|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:31:20|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 15:31:20|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 15:31:24|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 15:31:24|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.5_rm1/config.yaml
+[06-21 15:31:24|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_2b_step35_masked_bg0.5_rm1']
+[06-21 15:31:24|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_2b_step35_masked_bg0.5_rm1
+[06-21 15:31:24|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.5_rm1/sunny_Building_2b_step35_masked_bg0.5_rm1.json
+[06-21 15:31:24|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 15:31:24|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/Building_mask.mp4', 'edge_mask_prompt': None}
+[06-21 15:41:58|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.5_rm1/sunny_Building_2b_step35_masked_bg0.5_rm1_control_edge.mp4
+[06-21 15:41:58|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 15:41:59|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.5_rm1/sunny_Building_2b_step35_masked_bg0.5_rm1.mp4
diff --git a/test/sunny/Building/2b_step35_masked_bg0.5_rm1/debug.log b/test/sunny/Building/2b_step35_masked_bg0.5_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..5a4ff70031376518583657c8fc771c8a0d82e912
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.5_rm1/debug.log
@@ -0,0 +1,975 @@
+[06-21 15:30:54|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 15:30:55|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 15:30:55|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 15:31:06|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 15:31:06|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 15:31:07|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.5_rm1') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 15:31:07|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 15:31:07|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 15:31:07|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 15:31:07|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 15:31:07|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 15:31:07|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 15:31:07|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 15:31:07|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 15:31:07|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 15:31:07|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 15:31:07|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 15:31:07|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 15:31:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 15:31:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 15:31:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 15:31:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 15:31:07|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 15:31:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 15:31:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 15:31:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 15:31:07|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 15:31:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 15:31:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 15:31:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 15:31:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 15:31:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 15:31:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 15:31:07|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 15:31:08|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 15:31:08|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 15:31:08|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 15:31:08|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 15:31:08|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 15:31:09|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 15:31:09|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 1.17 s
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:31:12|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:12|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.08 s
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.84 s
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.12 s
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.12 s
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 15:31:13|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:31:14|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 15:31:14|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 15:31:14|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 15:31:14|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 15:31:14|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 15:31:14|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 15:31:20|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 15:31:20|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 15:31:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 15:31:20|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 12.70 s
+[06-21 15:31:20|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 15:31:20|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 15:31:21|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 15:31:23|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:23|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 15:31:24|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 15:31:24|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 15:31:24|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 15:31:24|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 15:31:24|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 15:31:24|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.5_rm1/config.yaml
+[06-21 15:31:24|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_2b_step35_masked_bg0.5_rm1']
+[06-21 15:31:24|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_2b_step35_masked_bg0.5_rm1
+[06-21 15:31:24|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_Building_2b_step35_masked_bg0.5_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4'), control_weight=1.0, mask_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/Building_mask.mp4'), mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 15:31:24|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.5_rm1/sunny_Building_2b_step35_masked_bg0.5_rm1.json
+[06-21 15:31:24|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 15:31:24|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/Building_mask.mp4', 'edge_mask_prompt': None}
+[06-21 15:31:24|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 15:31:24|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4
+[06-21 15:31:24|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 15:31:24|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 15:31:24|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 15:31:24|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 15:31:24|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 15:31:24|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 15:31:24|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4
+[06-21 15:31:24|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 15:31:25|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/Building_mask.mp4
+[06-21 15:31:25|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 15:31:25|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 15:31:25|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 15:31:25|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 15:31:25|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 15:31:25|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:31:25|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 15:31:25|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:31:43|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:36:49|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 15:36:49|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 15:36:50|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 15:36:50|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 15:36:50|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:36:50|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 15:36:50|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:36:52|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 15:41:56|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 314.6420054823393
+[06-21 15:41:56|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 15:41:58|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.5_rm1/sunny_Building_2b_step35_masked_bg0.5_rm1_control_edge.mp4
+[06-21 15:41:58|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 15:41:58|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 15:41:59|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/2b_step35_masked_bg0.5_rm1/sunny_Building_2b_step35_masked_bg0.5_rm1.mp4
diff --git a/test/sunny/Building/2b_step35_masked_bg0.5_rm1/spec.json b/test/sunny/Building/2b_step35_masked_bg0.5_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..22771d8daa5be4d2009cc6562212fbaeab30ffbe
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.5_rm1/spec.json
@@ -0,0 +1,14 @@
+{
+  "name": "sunny_Building_2b_step35_masked_bg0.5_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4",
+    "control_weight": 1.0,
+    "mask_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/Building_mask.mp4"
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures."
+}
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_masked_bg0.5_rm1/sunny_Building_2b_step35_masked_bg0.5_rm1.json b/test/sunny/Building/2b_step35_masked_bg0.5_rm1/sunny_Building_2b_step35_masked_bg0.5_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..0a8baafc0bacfefa96a1468c6f0f4a8e5d789de4
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.5_rm1/sunny_Building_2b_step35_masked_bg0.5_rm1.json
@@ -0,0 +1 @@
+{"name":"sunny_Building_2b_step35_masked_bg0.5_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4","control_weight":1.0,"mask_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/Building_mask.mp4","mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_masked_bg0.5_rm1/sunny_Building_2b_step35_masked_bg0.5_rm1.mp4 b/test/sunny/Building/2b_step35_masked_bg0.5_rm1/sunny_Building_2b_step35_masked_bg0.5_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..bf5d5d3a92fce5521f1ce6f3edfcf4244d3bd511
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.5_rm1/sunny_Building_2b_step35_masked_bg0.5_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0e774da8d22737e5a781c1accd62363739e820e71b218e320438b8319bede426
+size 2047795
diff --git a/test/sunny/Building/2b_step35_masked_bg0.5_rm1/sunny_Building_2b_step35_masked_bg0.5_rm1.txt b/test/sunny/Building/2b_step35_masked_bg0.5_rm1/sunny_Building_2b_step35_masked_bg0.5_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..20a963b13c72a11374e0cef9d7e75383860a19e6
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.5_rm1/sunny_Building_2b_step35_masked_bg0.5_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.
\ No newline at end of file
diff --git a/test/sunny/Building/2b_step35_masked_bg0.5_rm1/sunny_Building_2b_step35_masked_bg0.5_rm1_control_edge.mp4 b/test/sunny/Building/2b_step35_masked_bg0.5_rm1/sunny_Building_2b_step35_masked_bg0.5_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..47475c3689a750b185cac16f33177181588b21a2
--- /dev/null
+++ b/test/sunny/Building/2b_step35_masked_bg0.5_rm1/sunny_Building_2b_step35_masked_bg0.5_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dfba067cb44ba645d6cbd3198eee3656c2a025a9aff66d181e310e972aba4469
+size 294166
diff --git a/test/sunny/Building/distilled_step4_bg0.1_rm0.5/config.yaml b/test/sunny/Building/distilled_step4_bg0.1_rm0.5/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ffae92a4056bc999b5f785d5fc309dfe63828c33
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.1_rm0.5/config.yaml
@@ -0,0 +1,956 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: ''
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '500'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'True'
+  type:
+    _target_: <class 'cosmos_transfer2._src.interactive.checkpointer.dcp_distill.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f48dca16dd0>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f48dca16f80>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f48dca16dd0>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f48dca172e0>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val: null
+defaults:
+- _self_
+- data_train: null
+- data_val: null
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- callbacks: basic
+- model: ddp
+- net: null
+- net_fake_score: null
+- net_teacher: null
+- net_discriminator_head: null
+- conditioner: video_prediction_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dcp_distill
+- condition_postprocessor: null
+- experiment: null
+job:
+  cluster: null
+  group: cosmos3_interactive
+  name: dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge
+  project: cosmos_interactive
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.interactive.methods.distribution_matching.dmd2.DMD2Model'>
+  config:
+    base_load_from: null
+    condition_postprocessor:
+      _target_: <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>
+      hint_keys:
+      - edge
+    conditional_frames_probs:
+      0: 0.6
+      1: 0.2
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditioner'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    grad_clip: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    intermediate_feature_ids: null
+    load_teacher_weights: false
+    loss_reduce: mean
+    loss_scale_GAN_discriminator: 1.0
+    loss_scale_GAN_generator: 1.0
+    loss_scale_fake_score: 1.0
+    loss_scale_sid: 1.0
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    multiply_noise_by_video_len: true
+    neg_embed_path: ''
+    neg_prompt_str: The video captures a game playing, with bad crappy graphics and
+      cartoonish frames. It represents a recording of old outdated games. The lighting
+      looks very fake. The textures are very raw and basic. The geometries are very
+      primitive. The images are very pixelated and of poor CG quality. There are many
+      subtitles in the footage. Overall, the video is unrealistic at all.
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_discriminator_head: null
+    net_fake_score:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_teacher:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    noise_level_parameterization: trigflow
+    optimizer_discriminator_config:
+      _target_: <function get_base_optimizer at 0x7f492dd45cf0>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    optimizer_fake_score_config:
+      _target_: <function get_base_optimizer at 0x7f492dd45cf0>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    precision: bfloat16
+    rectified_flow_loss_weight_uniform: false
+    rectified_flow_t_scaling_factor: 1.0
+    replace_cond_output_with_gt: true
+    resolution: '720'
+    scaling: rectified_flow
+    sde:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '-0.8'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    sde_D:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '0.0'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    selected_sampling_time:
+    - 1.5707963267948966
+    - 1.5042281630190728
+    - 1.373400766945016
+    - 1.0303768265243125
+    sigma_conditional: 0.0001
+    sigma_data: 1.0
+    state_ch: 16
+    state_t: 24
+    student_load_from: null
+    student_update_freq: 5
+    teacher_guidance: 3.0
+    teacher_load_from:
+      credentials: credentials/s3_checkpoint.secret
+      load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_nonuniform_hqv3p1_20250714_64N_rectified_flow/checkpoints/iter_000029000/model
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f49323ef9a0>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    timestep_shift: 5.0
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+    use_clean_cond_timesteps: true
+    use_neg_prompt_str: false
+    use_torch_compile: false
+    vis_debug: false
+    warmup_steps: 1
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 4
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f492dd45cf0>
+  betas:
+  - '0.9'
+  - '0.999'
+  capturable: 'True'
+  eps: 1e-08
+  lr: 1e-06
+  master_weights: 'True'
+  model: null
+  optim_type: fusedadam
+  weight_decay: '0.01'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '400000'
+  f_max:
+  - '0.99'
+  f_min:
+  - '0.4'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '10'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'True'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'False'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '1.0'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '10'
+      hit_thres: '100'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '5'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '10'
+  max_iter: '30000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'False'
+    max_diff: '2.0'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.interactive.trainer.trainer_distillation.ImaginaireDistillationTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/sunny/Building/distilled_step4_bg0.1_rm0.5/console.log b/test/sunny/Building/distilled_step4_bg0.1_rm0.5/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..987cbeaa35624ed35de4bd8783938eb12222e481
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.1_rm0.5/console.log
@@ -0,0 +1,22 @@
+[06-21 14:29:29|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 14:29:29|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 14:29:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 14:29:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:29:31|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 14:29:31|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:29:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 14:29:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 14:30:02|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 14:30:02|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 14:30:02|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.1_rm0.5/config.yaml
+[06-21 14:30:02|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_distilled_step4_bg0.1_rm0.5']
+[06-21 14:30:02|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_distilled_step4_bg0.1_rm0.5
+[06-21 14:30:02|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.1_rm0.5/sunny_Building_distilled_step4_bg0.1_rm0.5.json
+[06-21 14:30:02|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 14:30:02|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 14:31:08|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 14:31:09|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.1_rm0.5/sunny_Building_distilled_step4_bg0.1_rm0.5_control_edge.mp4
+[06-21 14:31:09|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 14:31:10|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.1_rm0.5/sunny_Building_distilled_step4_bg0.1_rm0.5.mp4
diff --git a/test/sunny/Building/distilled_step4_bg0.1_rm0.5/debug.log b/test/sunny/Building/distilled_step4_bg0.1_rm0.5/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..9ad0c3084bb903c490cfd83b688dfe040f16385b
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.1_rm0.5/debug.log
@@ -0,0 +1,1484 @@
+[06-21 14:29:15|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=True)
+[06-21 14:29:16|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 14:29:16|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 14:29:27|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 14:29:27|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 14:29:27|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.1_rm0.5') model='edge/distilled' checkpoint_path='s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000' experiment='dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge' config_file='cosmos_transfer2/_src/interactive/configs/registry_transfer2p5.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 14:29:28|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 14:29:28|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 14:29:28|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 14:29:28|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 14:29:28|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 14:29:28|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 14:29:28|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 14:29:28|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 14:29:28|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 14:29:28|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 14:29:28|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 14:29:28|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.interactive.configs.registry_experiment
+[06-21 14:29:28|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiment_list
+[06-21 14:29:28|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_ac_predict2p5
+[06-21 14:29:29|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 14:29:29|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 14:29:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_predict2p5
+[06-21 14:29:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_transfer2p5
+[06-21 14:29:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_knowledge_distill_ac_predict2p5
+[06-21 14:29:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_self_forcing_ac_predict2p5
+[06-21 14:29:30|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 14:29:30|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:81:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000
+[06-21 14:29:30|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:109:load_model_from_checkpoint] Setting load_teacher_weights=False for inference to skip teacher checkpoint download
+[06-21 14:29:30|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:94:__init__] Setting precision to torch.bfloat16
+[06-21 14:29:30|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 14:29:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 14:29:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:29:30|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 14:29:30|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 14:29:31|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 14:29:31|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 14:29:31|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 14:29:31|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:29:34|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 14:29:34|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 14:29:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 14:29:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 14:29:35|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:35|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.65 s
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:231:build_model] 
+
+==============config condition_postprocessor: {'hint_keys': ['edge'], '_target_': <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>}
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:232:build_model] 
+
+==============condition_postprocessor: <cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor object at 0x7f48d6fb0610>
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_model: 6.48 s
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:29:36|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:36|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.64 s
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:29:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.64 s
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:86:build_model] ==========Instantiating networks...==========
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:87:build_model] net: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:88:build_model] net_teacher: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:89:build_model] net_fake_score: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:128:build_model] Freezing the CR1 embedding projection layer in student net..
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:132:build_model] Freezing the CR1 embedding projection layer in fake score net..
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:135:build_model] Freezing teacher net..
+[06-21 14:29:37|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:119:setup_loss_specs] Using mean loss reduce with loss scale 1.0
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 7.81 s
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 14:29:37|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 14:29:38|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:214:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/bbaeedb2b57cc8b14a44653099e2551adb69dcc7/distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 14:30:01|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:173:_process_pt_state_dict_for_ema] Loading EMA-exported checkpoint with net.* keys directly
+[06-21 14:30:01|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:408:load_state_dict] load model in non-strict mode
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:01|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:30:02|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:409:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 14:30:02|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:819:load_state_dict] load fake score model in non-strict mode
+[06-21 14:30:02|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:820:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['accum_video_sample_counter', 'accum_image_sample_counter', 'accum_iteration', 'accum_train_in_hours', 'x_embedder.proj.1.weight', 'pos_embedder.seq', 'pos_embedder.dim_spatial_range', 'pos_embedder.dim_temporal_range', 't_embedder.1.linear_1.weight', 't_embedder.1.linear_2.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.linear.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.1.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.2.weight', 't_embedding_norm.weight', 'crossattn_proj.0.weight', 'crossattn_proj.0.bias', 'control_embedder.proj.1.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.bias'], unexpected_keys=[], incorrect_shapes=[])
+[06-21 14:30:02|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 14:30:02|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 14:30:02|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 14:30:02|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.1_rm0.5/config.yaml
+[06-21 14:30:02|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_distilled_step4_bg0.1_rm0.5']
+[06-21 14:30:02|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_distilled_step4_bg0.1_rm0.5
+[06-21 14:30:02|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_Building_distilled_step4_bg0.1_rm0.5' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=4 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 14:30:02|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.1_rm0.5/sunny_Building_distilled_step4_bg0.1_rm0.5.json
+[06-21 14:30:02|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 14:30:02|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 14:30:02|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 14:30:02|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4
+[06-21 14:30:02|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 14:30:02|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 14:30:02|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 14:30:02|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 14:30:02|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 14:30:02|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4
+[06-21 14:30:02|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 179
+[06-21 14:30:02|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 14:30:02|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 14:30:40|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 14:30:40|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 14:31:08|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 31.72203822201118
+[06-21 14:31:08|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 14:31:08|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 14:31:09|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.1_rm0.5/sunny_Building_distilled_step4_bg0.1_rm0.5_control_edge.mp4
+[06-21 14:31:09|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 14:31:09|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 14:31:10|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.1_rm0.5/sunny_Building_distilled_step4_bg0.1_rm0.5.mp4
diff --git a/test/sunny/Building/distilled_step4_bg0.1_rm0.5/spec.json b/test/sunny/Building/distilled_step4_bg0.1_rm0.5/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..d5303b70e7612586e7a47a09c86ab4eb977293ca
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.1_rm0.5/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "sunny_Building_distilled_step4_bg0.1_rm0.5",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 4,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures."
+}
\ No newline at end of file
diff --git a/test/sunny/Building/distilled_step4_bg0.1_rm0.5/sunny_Building_distilled_step4_bg0.1_rm0.5.json b/test/sunny/Building/distilled_step4_bg0.1_rm0.5/sunny_Building_distilled_step4_bg0.1_rm0.5.json
new file mode 100644
index 0000000000000000000000000000000000000000..adeead285c61fb6a760398fef3ef03aa419c6b5c
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.1_rm0.5/sunny_Building_distilled_step4_bg0.1_rm0.5.json
@@ -0,0 +1 @@
+{"name":"sunny_Building_distilled_step4_bg0.1_rm0.5","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":4,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/sunny/Building/distilled_step4_bg0.1_rm0.5/sunny_Building_distilled_step4_bg0.1_rm0.5.mp4 b/test/sunny/Building/distilled_step4_bg0.1_rm0.5/sunny_Building_distilled_step4_bg0.1_rm0.5.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..ce98b5b5ea78001259335e6cd366865c848687b1
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.1_rm0.5/sunny_Building_distilled_step4_bg0.1_rm0.5.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:58c4e6df8a9d964ce04f895393ccc7fcefe2c1002237c2bcfccf88ce4c112f5f
+size 2050044
diff --git a/test/sunny/Building/distilled_step4_bg0.1_rm0.5/sunny_Building_distilled_step4_bg0.1_rm0.5.txt b/test/sunny/Building/distilled_step4_bg0.1_rm0.5/sunny_Building_distilled_step4_bg0.1_rm0.5.txt
new file mode 100644
index 0000000000000000000000000000000000000000..20a963b13c72a11374e0cef9d7e75383860a19e6
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.1_rm0.5/sunny_Building_distilled_step4_bg0.1_rm0.5.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.
\ No newline at end of file
diff --git a/test/sunny/Building/distilled_step4_bg0.1_rm0.5/sunny_Building_distilled_step4_bg0.1_rm0.5_control_edge.mp4 b/test/sunny/Building/distilled_step4_bg0.1_rm0.5/sunny_Building_distilled_step4_bg0.1_rm0.5_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..31517dea0588b3196cdefd6c05d01c13532f321a
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.1_rm0.5/sunny_Building_distilled_step4_bg0.1_rm0.5_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82d37f9770a7b373f8f9fb16267abb84131023d9ecda8dcc622bb8cf91dbfb93
+size 1419864
diff --git a/test/sunny/Building/distilled_step4_bg0.1_rm1/config.yaml b/test/sunny/Building/distilled_step4_bg0.1_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..a18ed23158658c01dfa6e070c5127e2d676911d0
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.1_rm1/config.yaml
@@ -0,0 +1,956 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: ''
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '500'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'True'
+  type:
+    _target_: <class 'cosmos_transfer2._src.interactive.checkpointer.dcp_distill.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f74b620ed40>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f74b620eef0>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f74b620ed40>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f74b620f250>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val: null
+defaults:
+- _self_
+- data_train: null
+- data_val: null
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- callbacks: basic
+- model: ddp
+- net: null
+- net_fake_score: null
+- net_teacher: null
+- net_discriminator_head: null
+- conditioner: video_prediction_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dcp_distill
+- condition_postprocessor: null
+- experiment: null
+job:
+  cluster: null
+  group: cosmos3_interactive
+  name: dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge
+  project: cosmos_interactive
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.interactive.methods.distribution_matching.dmd2.DMD2Model'>
+  config:
+    base_load_from: null
+    condition_postprocessor:
+      _target_: <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>
+      hint_keys:
+      - edge
+    conditional_frames_probs:
+      0: 0.6
+      1: 0.2
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditioner'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    grad_clip: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    intermediate_feature_ids: null
+    load_teacher_weights: false
+    loss_reduce: mean
+    loss_scale_GAN_discriminator: 1.0
+    loss_scale_GAN_generator: 1.0
+    loss_scale_fake_score: 1.0
+    loss_scale_sid: 1.0
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    multiply_noise_by_video_len: true
+    neg_embed_path: ''
+    neg_prompt_str: The video captures a game playing, with bad crappy graphics and
+      cartoonish frames. It represents a recording of old outdated games. The lighting
+      looks very fake. The textures are very raw and basic. The geometries are very
+      primitive. The images are very pixelated and of poor CG quality. There are many
+      subtitles in the footage. Overall, the video is unrealistic at all.
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_discriminator_head: null
+    net_fake_score:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_teacher:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    noise_level_parameterization: trigflow
+    optimizer_discriminator_config:
+      _target_: <function get_base_optimizer at 0x7f750753dc60>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    optimizer_fake_score_config:
+      _target_: <function get_base_optimizer at 0x7f750753dc60>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    precision: bfloat16
+    rectified_flow_loss_weight_uniform: false
+    rectified_flow_t_scaling_factor: 1.0
+    replace_cond_output_with_gt: true
+    resolution: '720'
+    scaling: rectified_flow
+    sde:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '-0.8'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    sde_D:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '0.0'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    selected_sampling_time:
+    - 1.5707963267948966
+    - 1.5042281630190728
+    - 1.373400766945016
+    - 1.0303768265243125
+    sigma_conditional: 0.0001
+    sigma_data: 1.0
+    state_ch: 16
+    state_t: 24
+    student_load_from: null
+    student_update_freq: 5
+    teacher_guidance: 3.0
+    teacher_load_from:
+      credentials: credentials/s3_checkpoint.secret
+      load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_nonuniform_hqv3p1_20250714_64N_rectified_flow/checkpoints/iter_000029000/model
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f750bbd7910>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    timestep_shift: 5.0
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+    use_clean_cond_timesteps: true
+    use_neg_prompt_str: false
+    use_torch_compile: false
+    vis_debug: false
+    warmup_steps: 1
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 4
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f750753dc60>
+  betas:
+  - '0.9'
+  - '0.999'
+  capturable: 'True'
+  eps: 1e-08
+  lr: 1e-06
+  master_weights: 'True'
+  model: null
+  optim_type: fusedadam
+  weight_decay: '0.01'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '400000'
+  f_max:
+  - '0.99'
+  f_min:
+  - '0.4'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '10'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'True'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'False'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '1.0'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '10'
+      hit_thres: '100'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '5'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '10'
+  max_iter: '30000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'False'
+    max_diff: '2.0'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.interactive.trainer.trainer_distillation.ImaginaireDistillationTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/sunny/Building/distilled_step4_bg0.1_rm1/console.log b/test/sunny/Building/distilled_step4_bg0.1_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..041654ea7f33755bd00f67d2e94c739b955cf9ba
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.1_rm1/console.log
@@ -0,0 +1,22 @@
+[06-21 14:31:26|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 14:31:26|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 14:31:27|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 14:31:27|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:31:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 14:31:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:31:32|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 14:31:32|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 14:31:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 14:31:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 14:31:36|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 14:31:36|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 14:31:36|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.1_rm1/config.yaml
+[06-21 14:31:36|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_distilled_step4_bg0.1_rm1']
+[06-21 14:31:36|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_distilled_step4_bg0.1_rm1
+[06-21 14:31:36|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.1_rm1/sunny_Building_distilled_step4_bg0.1_rm1.json
+[06-21 14:31:36|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 14:31:36|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 14:32:42|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 14:32:43|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.1_rm1/sunny_Building_distilled_step4_bg0.1_rm1_control_edge.mp4
+[06-21 14:32:43|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 14:32:45|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.1_rm1/sunny_Building_distilled_step4_bg0.1_rm1.mp4
diff --git a/test/sunny/Building/distilled_step4_bg0.1_rm1/debug.log b/test/sunny/Building/distilled_step4_bg0.1_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..d7ace301a0d3a9271f35e5c25b18b102187c1555
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.1_rm1/debug.log
@@ -0,0 +1,1484 @@
+[06-21 14:31:13|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=True)
+[06-21 14:31:14|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 14:31:14|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 14:31:25|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 14:31:25|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 14:31:26|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.1_rm1') model='edge/distilled' checkpoint_path='s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000' experiment='dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge' config_file='cosmos_transfer2/_src/interactive/configs/registry_transfer2p5.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 14:31:26|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 14:31:26|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 14:31:26|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 14:31:26|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 14:31:26|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 14:31:26|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 14:31:26|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 14:31:26|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 14:31:26|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 14:31:26|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 14:31:26|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 14:31:26|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.interactive.configs.registry_experiment
+[06-21 14:31:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiment_list
+[06-21 14:31:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_ac_predict2p5
+[06-21 14:31:26|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 14:31:26|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 14:31:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_predict2p5
+[06-21 14:31:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_transfer2p5
+[06-21 14:31:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_knowledge_distill_ac_predict2p5
+[06-21 14:31:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_self_forcing_ac_predict2p5
+[06-21 14:31:27|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 14:31:27|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:81:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000
+[06-21 14:31:27|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:109:load_model_from_checkpoint] Setting load_teacher_weights=False for inference to skip teacher checkpoint download
+[06-21 14:31:27|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:94:__init__] Setting precision to torch.bfloat16
+[06-21 14:31:27|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 14:31:27|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 14:31:27|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:31:28|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 14:31:28|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 14:31:28|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 14:31:28|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 14:31:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 14:31:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:31:32|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 14:31:32|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 14:31:32|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 14:31:32|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.66 s
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:231:build_model] 
+
+==============config condition_postprocessor: {'hint_keys': ['edge'], '_target_': <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>}
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:232:build_model] 
+
+==============condition_postprocessor: <cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor object at 0x7f74b57d7940>
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_model: 6.47 s
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:31:33|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:33|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.65 s
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:31:34|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.65 s
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:86:build_model] ==========Instantiating networks...==========
+[06-21 14:31:34|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:87:build_model] net: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 14:31:35|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:88:build_model] net_teacher: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 14:31:35|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:89:build_model] net_fake_score: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 14:31:35|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:128:build_model] Freezing the CR1 embedding projection layer in student net..
+[06-21 14:31:35|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:132:build_model] Freezing the CR1 embedding projection layer in fake score net..
+[06-21 14:31:35|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:135:build_model] Freezing teacher net..
+[06-21 14:31:35|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:119:setup_loss_specs] Using mean loss reduce with loss scale 1.0
+[06-21 14:31:35|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 7.81 s
+[06-21 14:31:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 14:31:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 14:31:35|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:214:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/bbaeedb2b57cc8b14a44653099e2551adb69dcc7/distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 14:31:36|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:173:_process_pt_state_dict_for_ema] Loading EMA-exported checkpoint with net.* keys directly
+[06-21 14:31:36|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:408:load_state_dict] load model in non-strict mode
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:31:36|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:409:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 14:31:36|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:819:load_state_dict] load fake score model in non-strict mode
+[06-21 14:31:36|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:820:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['accum_video_sample_counter', 'accum_image_sample_counter', 'accum_iteration', 'accum_train_in_hours', 'x_embedder.proj.1.weight', 'pos_embedder.seq', 'pos_embedder.dim_spatial_range', 'pos_embedder.dim_temporal_range', 't_embedder.1.linear_1.weight', 't_embedder.1.linear_2.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.linear.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.1.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.2.weight', 't_embedding_norm.weight', 'crossattn_proj.0.weight', 'crossattn_proj.0.bias', 'control_embedder.proj.1.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.bias'], unexpected_keys=[], incorrect_shapes=[])
+[06-21 14:31:36|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 14:31:36|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 14:31:36|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 14:31:36|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.1_rm1/config.yaml
+[06-21 14:31:36|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_distilled_step4_bg0.1_rm1']
+[06-21 14:31:36|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_distilled_step4_bg0.1_rm1
+[06-21 14:31:36|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_Building_distilled_step4_bg0.1_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=4 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 14:31:36|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.1_rm1/sunny_Building_distilled_step4_bg0.1_rm1.json
+[06-21 14:31:36|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 14:31:36|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 14:31:36|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 14:31:36|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4
+[06-21 14:31:36|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 14:31:36|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 14:31:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 14:31:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 14:31:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 14:31:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4
+[06-21 14:31:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 14:31:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 14:31:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 14:32:14|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 14:32:14|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 14:32:42|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 31.725967489997856
+[06-21 14:32:42|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 14:32:42|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 14:32:43|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.1_rm1/sunny_Building_distilled_step4_bg0.1_rm1_control_edge.mp4
+[06-21 14:32:43|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 14:32:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 14:32:45|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.1_rm1/sunny_Building_distilled_step4_bg0.1_rm1.mp4
diff --git a/test/sunny/Building/distilled_step4_bg0.1_rm1/spec.json b/test/sunny/Building/distilled_step4_bg0.1_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..afc13100837707d6f127de8061330246cbc76700
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.1_rm1/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "sunny_Building_distilled_step4_bg0.1_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 4,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures."
+}
\ No newline at end of file
diff --git a/test/sunny/Building/distilled_step4_bg0.1_rm1/sunny_Building_distilled_step4_bg0.1_rm1.json b/test/sunny/Building/distilled_step4_bg0.1_rm1/sunny_Building_distilled_step4_bg0.1_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..5d6b3d33bf88e6ce53922b95dc7ef3a6dbe92c12
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.1_rm1/sunny_Building_distilled_step4_bg0.1_rm1.json
@@ -0,0 +1 @@
+{"name":"sunny_Building_distilled_step4_bg0.1_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":4,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/sunny/Building/distilled_step4_bg0.1_rm1/sunny_Building_distilled_step4_bg0.1_rm1.mp4 b/test/sunny/Building/distilled_step4_bg0.1_rm1/sunny_Building_distilled_step4_bg0.1_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..907fe0f6de85806067d71ad849917359be36e384
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.1_rm1/sunny_Building_distilled_step4_bg0.1_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:248422038ae7df179415aa61f807aaa791f7678ec5f975fcd7e2e58772c19dd7
+size 3619125
diff --git a/test/sunny/Building/distilled_step4_bg0.1_rm1/sunny_Building_distilled_step4_bg0.1_rm1.txt b/test/sunny/Building/distilled_step4_bg0.1_rm1/sunny_Building_distilled_step4_bg0.1_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..20a963b13c72a11374e0cef9d7e75383860a19e6
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.1_rm1/sunny_Building_distilled_step4_bg0.1_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.
\ No newline at end of file
diff --git a/test/sunny/Building/distilled_step4_bg0.1_rm1/sunny_Building_distilled_step4_bg0.1_rm1_control_edge.mp4 b/test/sunny/Building/distilled_step4_bg0.1_rm1/sunny_Building_distilled_step4_bg0.1_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..4e05a50fa2ad1e0a28d85922afab1e6c5bb0bdb6
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.1_rm1/sunny_Building_distilled_step4_bg0.1_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1118d385e00f89199bfa15fd4a05d2585b49ee3c84a34000045d27417dd720e7
+size 1818642
diff --git a/test/sunny/Building/distilled_step4_bg0.5_rm1/config.yaml b/test/sunny/Building/distilled_step4_bg0.5_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d524a4c81e93d2b5fa8e45729510a671dfac0ad4
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.5_rm1/config.yaml
@@ -0,0 +1,956 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: ''
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '500'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'True'
+  type:
+    _target_: <class 'cosmos_transfer2._src.interactive.checkpointer.dcp_distill.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fd68cedad40>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7fd68cedaef0>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fd68cedad40>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7fd68cedb250>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val: null
+defaults:
+- _self_
+- data_train: null
+- data_val: null
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- callbacks: basic
+- model: ddp
+- net: null
+- net_fake_score: null
+- net_teacher: null
+- net_discriminator_head: null
+- conditioner: video_prediction_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dcp_distill
+- condition_postprocessor: null
+- experiment: null
+job:
+  cluster: null
+  group: cosmos3_interactive
+  name: dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge
+  project: cosmos_interactive
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.interactive.methods.distribution_matching.dmd2.DMD2Model'>
+  config:
+    base_load_from: null
+    condition_postprocessor:
+      _target_: <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>
+      hint_keys:
+      - edge
+    conditional_frames_probs:
+      0: 0.6
+      1: 0.2
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditioner'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    grad_clip: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    intermediate_feature_ids: null
+    load_teacher_weights: false
+    loss_reduce: mean
+    loss_scale_GAN_discriminator: 1.0
+    loss_scale_GAN_generator: 1.0
+    loss_scale_fake_score: 1.0
+    loss_scale_sid: 1.0
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    multiply_noise_by_video_len: true
+    neg_embed_path: ''
+    neg_prompt_str: The video captures a game playing, with bad crappy graphics and
+      cartoonish frames. It represents a recording of old outdated games. The lighting
+      looks very fake. The textures are very raw and basic. The geometries are very
+      primitive. The images are very pixelated and of poor CG quality. There are many
+      subtitles in the footage. Overall, the video is unrealistic at all.
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_discriminator_head: null
+    net_fake_score:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_teacher:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    noise_level_parameterization: trigflow
+    optimizer_discriminator_config:
+      _target_: <function get_base_optimizer at 0x7fd6de409c60>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    optimizer_fake_score_config:
+      _target_: <function get_base_optimizer at 0x7fd6de409c60>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    precision: bfloat16
+    rectified_flow_loss_weight_uniform: false
+    rectified_flow_t_scaling_factor: 1.0
+    replace_cond_output_with_gt: true
+    resolution: '720'
+    scaling: rectified_flow
+    sde:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '-0.8'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    sde_D:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '0.0'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    selected_sampling_time:
+    - 1.5707963267948966
+    - 1.5042281630190728
+    - 1.373400766945016
+    - 1.0303768265243125
+    sigma_conditional: 0.0001
+    sigma_data: 1.0
+    state_ch: 16
+    state_t: 24
+    student_load_from: null
+    student_update_freq: 5
+    teacher_guidance: 3.0
+    teacher_load_from:
+      credentials: credentials/s3_checkpoint.secret
+      load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_nonuniform_hqv3p1_20250714_64N_rectified_flow/checkpoints/iter_000029000/model
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7fd6e2aab910>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    timestep_shift: 5.0
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+    use_clean_cond_timesteps: true
+    use_neg_prompt_str: false
+    use_torch_compile: false
+    vis_debug: false
+    warmup_steps: 1
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 4
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7fd6de409c60>
+  betas:
+  - '0.9'
+  - '0.999'
+  capturable: 'True'
+  eps: 1e-08
+  lr: 1e-06
+  master_weights: 'True'
+  model: null
+  optim_type: fusedadam
+  weight_decay: '0.01'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '400000'
+  f_max:
+  - '0.99'
+  f_min:
+  - '0.4'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '10'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'True'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'False'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '1.0'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '10'
+      hit_thres: '100'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '5'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '10'
+  max_iter: '30000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'False'
+    max_diff: '2.0'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.interactive.trainer.trainer_distillation.ImaginaireDistillationTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/sunny/Building/distilled_step4_bg0.5_rm1/console.log b/test/sunny/Building/distilled_step4_bg0.5_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..0a894c33b1d2721bcee88975bd0c9dd241cf2ad4
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.5_rm1/console.log
@@ -0,0 +1,22 @@
+[06-21 14:33:00|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 14:33:00|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 14:33:01|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 14:33:01|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:33:02|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 14:33:02|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:33:06|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 14:33:06|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 14:33:10|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 14:33:10|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 14:33:10|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.5_rm1/config.yaml
+[06-21 14:33:10|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_distilled_step4_bg0.5_rm1']
+[06-21 14:33:10|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_distilled_step4_bg0.5_rm1
+[06-21 14:33:10|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.5_rm1/sunny_Building_distilled_step4_bg0.5_rm1.json
+[06-21 14:33:10|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 14:33:10|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 14:34:16|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 14:34:17|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.5_rm1/sunny_Building_distilled_step4_bg0.5_rm1_control_edge.mp4
+[06-21 14:34:18|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 14:34:19|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.5_rm1/sunny_Building_distilled_step4_bg0.5_rm1.mp4
diff --git a/test/sunny/Building/distilled_step4_bg0.5_rm1/debug.log b/test/sunny/Building/distilled_step4_bg0.5_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..6559108102ba77679afbb5b0fc377fb96bc6c835
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.5_rm1/debug.log
@@ -0,0 +1,1484 @@
+[06-21 14:32:48|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=True)
+[06-21 14:32:49|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 14:32:49|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 14:32:59|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 14:33:00|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 14:33:00|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.5_rm1') model='edge/distilled' checkpoint_path='s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000' experiment='dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge' config_file='cosmos_transfer2/_src/interactive/configs/registry_transfer2p5.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 14:33:00|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 14:33:00|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 14:33:00|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 14:33:00|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 14:33:00|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 14:33:00|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 14:33:00|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 14:33:00|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 14:33:00|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 14:33:00|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 14:33:00|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 14:33:00|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.interactive.configs.registry_experiment
+[06-21 14:33:00|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiment_list
+[06-21 14:33:00|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_ac_predict2p5
+[06-21 14:33:00|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 14:33:00|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 14:33:01|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_predict2p5
+[06-21 14:33:01|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_transfer2p5
+[06-21 14:33:01|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_knowledge_distill_ac_predict2p5
+[06-21 14:33:01|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_self_forcing_ac_predict2p5
+[06-21 14:33:01|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 14:33:01|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:81:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000
+[06-21 14:33:01|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:109:load_model_from_checkpoint] Setting load_teacher_weights=False for inference to skip teacher checkpoint download
+[06-21 14:33:01|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:94:__init__] Setting precision to torch.bfloat16
+[06-21 14:33:01|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 14:33:01|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 14:33:01|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:33:02|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 14:33:02|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 14:33:02|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 14:33:02|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 14:33:02|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 14:33:02|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:33:06|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 14:33:06|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 14:33:06|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 14:33:06|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:33:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.66 s
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:231:build_model] 
+
+==============config condition_postprocessor: {'hint_keys': ['edge'], '_target_': <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>}
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:232:build_model] 
+
+==============condition_postprocessor: <cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor object at 0x7fd68ccf5450>
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_model: 6.47 s
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:33:08|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.64 s
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:08|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:33:09|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.65 s
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:86:build_model] ==========Instantiating networks...==========
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:87:build_model] net: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:88:build_model] net_teacher: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:89:build_model] net_fake_score: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:128:build_model] Freezing the CR1 embedding projection layer in student net..
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:132:build_model] Freezing the CR1 embedding projection layer in fake score net..
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:135:build_model] Freezing teacher net..
+[06-21 14:33:09|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:119:setup_loss_specs] Using mean loss reduce with loss scale 1.0
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 7.81 s
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 14:33:09|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:214:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/bbaeedb2b57cc8b14a44653099e2551adb69dcc7/distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 14:33:10|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:173:_process_pt_state_dict_for_ema] Loading EMA-exported checkpoint with net.* keys directly
+[06-21 14:33:10|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:408:load_state_dict] load model in non-strict mode
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:33:10|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:409:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 14:33:10|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:819:load_state_dict] load fake score model in non-strict mode
+[06-21 14:33:10|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:820:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['accum_video_sample_counter', 'accum_image_sample_counter', 'accum_iteration', 'accum_train_in_hours', 'x_embedder.proj.1.weight', 'pos_embedder.seq', 'pos_embedder.dim_spatial_range', 'pos_embedder.dim_temporal_range', 't_embedder.1.linear_1.weight', 't_embedder.1.linear_2.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.linear.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.1.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.2.weight', 't_embedding_norm.weight', 'crossattn_proj.0.weight', 'crossattn_proj.0.bias', 'control_embedder.proj.1.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.bias'], unexpected_keys=[], incorrect_shapes=[])
+[06-21 14:33:10|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 14:33:10|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 14:33:10|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 14:33:10|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.5_rm1/config.yaml
+[06-21 14:33:10|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_distilled_step4_bg0.5_rm1']
+[06-21 14:33:10|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_distilled_step4_bg0.5_rm1
+[06-21 14:33:10|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_Building_distilled_step4_bg0.5_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=4 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 14:33:10|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.5_rm1/sunny_Building_distilled_step4_bg0.5_rm1.json
+[06-21 14:33:10|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 14:33:10|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 14:33:10|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 14:33:10|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4
+[06-21 14:33:11|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 14:33:11|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 14:33:11|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 14:33:11|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 14:33:11|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 14:33:11|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4
+[06-21 14:33:11|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 14:33:11|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 14:33:11|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 14:33:48|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 14:33:48|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 14:34:16|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 31.700228346860968
+[06-21 14:34:16|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 14:34:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 14:34:17|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.5_rm1/sunny_Building_distilled_step4_bg0.5_rm1_control_edge.mp4
+[06-21 14:34:18|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 14:34:18|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 14:34:19|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/Building/distilled_step4_bg0.5_rm1/sunny_Building_distilled_step4_bg0.5_rm1.mp4
diff --git a/test/sunny/Building/distilled_step4_bg0.5_rm1/spec.json b/test/sunny/Building/distilled_step4_bg0.5_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..57d6536a21efdae50a93cade8468d5c5a439cf38
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.5_rm1/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "sunny_Building_distilled_step4_bg0.5_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 4,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures."
+}
\ No newline at end of file
diff --git a/test/sunny/Building/distilled_step4_bg0.5_rm1/sunny_Building_distilled_step4_bg0.5_rm1.json b/test/sunny/Building/distilled_step4_bg0.5_rm1/sunny_Building_distilled_step4_bg0.5_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..26365bbd67e8a23fbef1d6b7f942a4dfd650a9ee
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.5_rm1/sunny_Building_distilled_step4_bg0.5_rm1.json
@@ -0,0 +1 @@
+{"name":"sunny_Building_distilled_step4_bg0.5_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":4,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/sunny/Building/distilled_step4_bg0.5_rm1/sunny_Building_distilled_step4_bg0.5_rm1.mp4 b/test/sunny/Building/distilled_step4_bg0.5_rm1/sunny_Building_distilled_step4_bg0.5_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..9f17baa736c0ad4a955b7717aaed5cd839930338
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.5_rm1/sunny_Building_distilled_step4_bg0.5_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e802e2a36bd5f770d8dc69a353b10a7b28dba30af37e1ddc0d34ae386f619aea
+size 3519220
diff --git a/test/sunny/Building/distilled_step4_bg0.5_rm1/sunny_Building_distilled_step4_bg0.5_rm1.txt b/test/sunny/Building/distilled_step4_bg0.5_rm1/sunny_Building_distilled_step4_bg0.5_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..20a963b13c72a11374e0cef9d7e75383860a19e6
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.5_rm1/sunny_Building_distilled_step4_bg0.5_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.
\ No newline at end of file
diff --git a/test/sunny/Building/distilled_step4_bg0.5_rm1/sunny_Building_distilled_step4_bg0.5_rm1_control_edge.mp4 b/test/sunny/Building/distilled_step4_bg0.5_rm1/sunny_Building_distilled_step4_bg0.5_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..a7e58d7f057ee0f0db3dd0132c780ecd3d41a7e8
--- /dev/null
+++ b/test/sunny/Building/distilled_step4_bg0.5_rm1/sunny_Building_distilled_step4_bg0.5_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7a99f3639d51bc435cf50318e1c689dd0c653511fe4a724911e93c08403523ea
+size 1859428
diff --git a/test/sunny/weather/2b_step35_bg0.1_rm0.5/config.yaml b/test/sunny/weather/2b_step35_bg0.1_rm0.5/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1c1a0eefca362a0fe76ea54202ea424315d04b97
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.1_rm0.5/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f76537d72e0>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f76537d72e0>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f76537d7400>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f76537d79a0>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f76537d7400>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f76537d7d90>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f7657cbb9a0>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f76538fc5e0>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/sunny/weather/2b_step35_bg0.1_rm0.5/console.log b/test/sunny/weather/2b_step35_bg0.1_rm0.5/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..c87e19a5dc06fd081f3f64c6c9510d7c4eaeef85
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.1_rm0.5/console.log
@@ -0,0 +1,18 @@
+[06-21 19:42:32|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 19:42:32|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:46:39|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 19:46:39|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:46:43|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 19:46:43|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 19:46:52|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 19:46:52|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.1_rm0.5/config.yaml
+[06-21 19:46:52|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_2b_step35_bg0.1_rm0.5']
+[06-21 19:46:52|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_2b_step35_bg0.1_rm0.5
+[06-21 19:46:52|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.1_rm0.5/sunny_weather_2b_step35_bg0.1_rm0.5.json
+[06-21 19:46:52|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 19:46:52|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 19:57:28|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.1_rm0.5/sunny_weather_2b_step35_bg0.1_rm0.5_control_edge.mp4
+[06-21 19:57:28|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 19:57:29|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.1_rm0.5/sunny_weather_2b_step35_bg0.1_rm0.5.mp4
diff --git a/test/sunny/weather/2b_step35_bg0.1_rm0.5/debug.log b/test/sunny/weather/2b_step35_bg0.1_rm0.5/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..d37eaf7d7ca9f2fe270219c58dee55e5e3ad0c78
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.1_rm0.5/debug.log
@@ -0,0 +1,973 @@
+[06-21 19:42:18|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 19:42:19|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 19:42:19|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 19:42:29|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 19:42:30|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 19:42:30|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.1_rm0.5') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 19:42:30|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 19:42:30|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 19:42:30|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 19:42:30|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 19:42:30|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 19:42:30|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 19:42:30|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 19:42:30|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 19:42:30|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 19:42:31|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 19:42:31|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 19:42:31|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 19:42:31|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 19:42:31|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 19:42:31|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 19:42:31|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 19:42:31|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 19:42:31|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 19:42:31|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 19:42:31|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 19:42:31|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 19:42:31|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 19:42:31|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 19:42:31|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 19:42:31|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 19:42:32|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 19:42:32|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 19:42:32|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 19:42:32|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 19:42:32|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 19:42:32|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 19:42:32|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 19:42:32|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 19:42:33|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 19:42:33|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 0.98 s
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:46:37|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:37|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:38|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.08 s
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.84 s
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 244.80 s
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 244.80 s
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 19:46:38|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:46:39|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 19:46:39|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 19:46:39|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 19:46:39|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 19:46:39|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 19:46:39|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:46:43|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 19:46:43|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 19:46:43|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 19:46:43|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 250.86 s
+[06-21 19:46:43|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 19:46:43|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 19:46:43|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 19:46:51|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:51|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:46:52|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 19:46:52|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 19:46:52|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 19:46:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 19:46:52|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 19:46:52|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.1_rm0.5/config.yaml
+[06-21 19:46:52|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_2b_step35_bg0.1_rm0.5']
+[06-21 19:46:52|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_2b_step35_bg0.1_rm0.5
+[06-21 19:46:52|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_weather_2b_step35_bg0.1_rm0.5' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 19:46:52|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.1_rm0.5/sunny_weather_2b_step35_bg0.1_rm0.5.json
+[06-21 19:46:52|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 19:46:52|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 19:46:52|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 19:46:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4
+[06-21 19:46:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 19:46:52|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 19:46:52|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 19:46:52|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 19:46:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 19:46:52|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 19:46:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4
+[06-21 19:46:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 179
+[06-21 19:46:52|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 19:46:52|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 19:46:53|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 19:46:53|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 19:46:53|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 19:46:53|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 19:46:53|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 19:47:11|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 19:52:22|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 19:52:22|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 19:52:22|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 19:52:22|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 19:52:22|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 19:52:22|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 19:52:22|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 19:52:25|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 19:57:27|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 316.1013743864605
+[06-21 19:57:27|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 19:57:28|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.1_rm0.5/sunny_weather_2b_step35_bg0.1_rm0.5_control_edge.mp4
+[06-21 19:57:28|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 19:57:28|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 19:57:29|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.1_rm0.5/sunny_weather_2b_step35_bg0.1_rm0.5.mp4
diff --git a/test/sunny/weather/2b_step35_bg0.1_rm0.5/spec.json b/test/sunny/weather/2b_step35_bg0.1_rm0.5/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..c66df112b413fb22d80c3eb74d28202a30df84f2
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.1_rm0.5/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "sunny_weather_2b_step35_bg0.1_rm0.5",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows."
+}
\ No newline at end of file
diff --git a/test/sunny/weather/2b_step35_bg0.1_rm0.5/sunny_weather_2b_step35_bg0.1_rm0.5.json b/test/sunny/weather/2b_step35_bg0.1_rm0.5/sunny_weather_2b_step35_bg0.1_rm0.5.json
new file mode 100644
index 0000000000000000000000000000000000000000..8bc857a664ffda441f10eadd2d1b80e0141536ca
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.1_rm0.5/sunny_weather_2b_step35_bg0.1_rm0.5.json
@@ -0,0 +1 @@
+{"name":"sunny_weather_2b_step35_bg0.1_rm0.5","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/sunny/weather/2b_step35_bg0.1_rm0.5/sunny_weather_2b_step35_bg0.1_rm0.5.mp4 b/test/sunny/weather/2b_step35_bg0.1_rm0.5/sunny_weather_2b_step35_bg0.1_rm0.5.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..015be0815f106e1a4d96b180c321a9587d46aa1d
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.1_rm0.5/sunny_weather_2b_step35_bg0.1_rm0.5.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:08e704a4f9c4f56905d8c72c15a2717f89fe74b731ad0af370ed8007c60f59c9
+size 2068754
diff --git a/test/sunny/weather/2b_step35_bg0.1_rm0.5/sunny_weather_2b_step35_bg0.1_rm0.5.txt b/test/sunny/weather/2b_step35_bg0.1_rm0.5/sunny_weather_2b_step35_bg0.1_rm0.5.txt
new file mode 100644
index 0000000000000000000000000000000000000000..464b6055f679cb63d0db8e54bd910217c87b403b
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.1_rm0.5/sunny_weather_2b_step35_bg0.1_rm0.5.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.
\ No newline at end of file
diff --git a/test/sunny/weather/2b_step35_bg0.1_rm0.5/sunny_weather_2b_step35_bg0.1_rm0.5_control_edge.mp4 b/test/sunny/weather/2b_step35_bg0.1_rm0.5/sunny_weather_2b_step35_bg0.1_rm0.5_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..31517dea0588b3196cdefd6c05d01c13532f321a
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.1_rm0.5/sunny_weather_2b_step35_bg0.1_rm0.5_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82d37f9770a7b373f8f9fb16267abb84131023d9ecda8dcc622bb8cf91dbfb93
+size 1419864
diff --git a/test/sunny/weather/2b_step35_bg0.1_rm1/config.yaml b/test/sunny/weather/2b_step35_bg0.1_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4d9ffa599b8a9916d940dc218f104417fd111b78
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.1_rm1/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fcbb483b490>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fcbb483b490>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fcbb483b5b0>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7fcbb483bb50>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fcbb483b5b0>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7fcbb483bf40>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7fcbb8f23b50>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7fcbb494c790>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/sunny/weather/2b_step35_bg0.1_rm1/console.log b/test/sunny/weather/2b_step35_bg0.1_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..81565b498f0c02bfb688348f5bfd81a4205e2139
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.1_rm1/console.log
@@ -0,0 +1,15 @@
+[06-21 19:57:47|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 19:57:47|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:57:53|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 19:57:53|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:57:57|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 19:57:57|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 19:57:58|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 19:57:59|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.1_rm1/config.yaml
+[06-21 19:57:59|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_2b_step35_bg0.1_rm1']
+[06-21 19:57:59|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_2b_step35_bg0.1_rm1
+[06-21 19:57:59|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.1_rm1/sunny_weather_2b_step35_bg0.1_rm1.json
+[06-21 19:57:59|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 19:57:59|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
diff --git a/test/sunny/weather/2b_step35_bg0.1_rm1/debug.log b/test/sunny/weather/2b_step35_bg0.1_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..570311a25acb679077ce8921c6cb3aa65cf32caa
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.1_rm1/debug.log
@@ -0,0 +1,967 @@
+[06-21 19:57:33|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 19:57:33|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 19:57:33|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 19:57:45|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 19:57:45|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 19:57:46|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.1_rm1') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 19:57:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 19:57:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 19:57:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 19:57:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 19:57:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 19:57:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 19:57:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 19:57:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 19:57:46|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 19:57:46|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 19:57:46|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 19:57:46|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 19:57:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 19:57:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 19:57:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 19:57:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 19:57:46|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 19:57:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 19:57:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 19:57:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 19:57:46|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 19:57:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 19:57:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 19:57:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 19:57:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 19:57:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 19:57:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 19:57:46|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 19:57:46|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 19:57:46|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 19:57:46|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 19:57:47|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 19:57:47|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 19:57:48|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 19:57:48|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 1.33 s
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:57:51|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:51|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.08 s
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.83 s
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.14 s
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.14 s
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 19:57:52|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:57:53|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 19:57:53|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 19:57:53|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 19:57:53|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 19:57:53|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 19:57:53|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:57:57|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 19:57:57|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 19:57:57|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 19:57:57|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 10.29 s
+[06-21 19:57:57|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 19:57:57|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 19:57:57|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 19:57:58|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:57:58|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 19:57:58|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 19:57:58|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 19:57:58|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 19:57:58|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 19:57:59|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.1_rm1/config.yaml
+[06-21 19:57:59|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_2b_step35_bg0.1_rm1']
+[06-21 19:57:59|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_2b_step35_bg0.1_rm1
+[06-21 19:57:59|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_weather_2b_step35_bg0.1_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 19:57:59|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.1_rm1/sunny_weather_2b_step35_bg0.1_rm1.json
+[06-21 19:57:59|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 19:57:59|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 19:57:59|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 19:57:59|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4
+[06-21 19:57:59|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 19:57:59|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 19:57:59|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 19:57:59|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 19:57:59|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 19:57:59|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 19:57:59|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4
+[06-21 19:57:59|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 19:57:59|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 19:57:59|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 19:57:59|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 19:57:59|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 19:57:59|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 19:57:59|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 19:57:59|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 19:58:17|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 20:03:23|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 20:03:23|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 20:03:24|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 20:03:24|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 20:03:24|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 20:03:24|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 20:03:24|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 20:03:26|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
diff --git a/test/sunny/weather/2b_step35_bg0.1_rm1/spec.json b/test/sunny/weather/2b_step35_bg0.1_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..e9140e9a464e13629056ff305dc90c859a0fb66e
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.1_rm1/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "sunny_weather_2b_step35_bg0.1_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows."
+}
\ No newline at end of file
diff --git a/test/sunny/weather/2b_step35_bg0.1_rm1/sunny_weather_2b_step35_bg0.1_rm1.json b/test/sunny/weather/2b_step35_bg0.1_rm1/sunny_weather_2b_step35_bg0.1_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..a9f53a2515379d289355a8634f46435b61ad2180
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.1_rm1/sunny_weather_2b_step35_bg0.1_rm1.json
@@ -0,0 +1 @@
+{"name":"sunny_weather_2b_step35_bg0.1_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/sunny/weather/2b_step35_bg0.1_rm1/sunny_weather_2b_step35_bg0.1_rm1.mp4 b/test/sunny/weather/2b_step35_bg0.1_rm1/sunny_weather_2b_step35_bg0.1_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..440717c90e3afa53e1033a2de729fac457a6f7ff
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.1_rm1/sunny_weather_2b_step35_bg0.1_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:af8effb5fc75f14916c234d67e97d6c01864dadf776e2c7f53ed7c8ff24c6ab5
+size 5738794
diff --git a/test/sunny/weather/2b_step35_bg0.1_rm1/sunny_weather_2b_step35_bg0.1_rm1.txt b/test/sunny/weather/2b_step35_bg0.1_rm1/sunny_weather_2b_step35_bg0.1_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..464b6055f679cb63d0db8e54bd910217c87b403b
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.1_rm1/sunny_weather_2b_step35_bg0.1_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.
\ No newline at end of file
diff --git a/test/sunny/weather/2b_step35_bg0.1_rm1/sunny_weather_2b_step35_bg0.1_rm1_control_edge.mp4 b/test/sunny/weather/2b_step35_bg0.1_rm1/sunny_weather_2b_step35_bg0.1_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..4e05a50fa2ad1e0a28d85922afab1e6c5bb0bdb6
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.1_rm1/sunny_weather_2b_step35_bg0.1_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1118d385e00f89199bfa15fd4a05d2585b49ee3c84a34000045d27417dd720e7
+size 1818642
diff --git a/test/sunny/weather/2b_step35_bg0.5_rm1/config.yaml b/test/sunny/weather/2b_step35_bg0.5_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d6b3f992d91976283d9b0bf3b0f6b2da9b0449d8
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.5_rm1/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f2252bbb490>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7f2252bbb490>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f2252bbb5b0>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f2252bbbb50>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f2252bbb5b0>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f2252bbbf40>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f225729fb50>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f2252ce05e0>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/sunny/weather/2b_step35_bg0.5_rm1/console.log b/test/sunny/weather/2b_step35_bg0.5_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..a1db5958286a23a9a1561729e9259bd0371f555a
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.5_rm1/console.log
@@ -0,0 +1,18 @@
+[06-21 13:45:18|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 13:45:18|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 13:45:24|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 13:45:24|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 13:45:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 13:45:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 13:45:29|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 13:45:29|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.5_rm1/config.yaml
+[06-21 13:45:29|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_2b_step35_bg0.5_rm1']
+[06-21 13:45:29|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_2b_step35_bg0.5_rm1
+[06-21 13:45:29|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.5_rm1/sunny_weather_2b_step35_bg0.5_rm1.json
+[06-21 13:45:29|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 13:45:29|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 13:56:00|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.5_rm1/sunny_weather_2b_step35_bg0.5_rm1_control_edge.mp4
+[06-21 13:56:00|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 13:56:01|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.5_rm1/sunny_weather_2b_step35_bg0.5_rm1.mp4
diff --git a/test/sunny/weather/2b_step35_bg0.5_rm1/debug.log b/test/sunny/weather/2b_step35_bg0.5_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..f7e46047d4d961411ccf10b32470c56b8b7d0efa
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.5_rm1/debug.log
@@ -0,0 +1,973 @@
+[06-21 13:44:55|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 13:44:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 13:44:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 13:45:15|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 13:45:16|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 13:45:17|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.5_rm1') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 13:45:17|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 13:45:17|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 13:45:17|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 13:45:17|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 13:45:17|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 13:45:17|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 13:45:17|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 13:45:17|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 13:45:17|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 13:45:17|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 13:45:17|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 13:45:17|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 13:45:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 13:45:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 13:45:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 13:45:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 13:45:17|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 13:45:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 13:45:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 13:45:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 13:45:17|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 13:45:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 13:45:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 13:45:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 13:45:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 13:45:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 13:45:17|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 13:45:17|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 13:45:18|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 13:45:18|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 13:45:18|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 13:45:18|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 13:45:18|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 13:45:19|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 13:45:19|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 1.04 s
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 13:45:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.08 s
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.83 s
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.11 s
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.11 s
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 13:45:23|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 13:45:24|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 13:45:24|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 13:45:24|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 13:45:24|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 13:45:24|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 13:45:24|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 13:45:28|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 13:45:28|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 13:45:28|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 13:45:28|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 10.01 s
+[06-21 13:45:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 13:45:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 13:45:28|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 13:45:29|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:45:29|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 13:45:29|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 13:45:29|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 13:45:29|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 13:45:29|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 13:45:29|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.5_rm1/config.yaml
+[06-21 13:45:29|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_2b_step35_bg0.5_rm1']
+[06-21 13:45:29|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_2b_step35_bg0.5_rm1
+[06-21 13:45:29|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_weather_2b_step35_bg0.5_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 13:45:29|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.5_rm1/sunny_weather_2b_step35_bg0.5_rm1.json
+[06-21 13:45:29|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 13:45:29|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 13:45:29|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 13:45:29|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4
+[06-21 13:45:30|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 13:45:30|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 13:45:30|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 13:45:30|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 13:45:30|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 13:45:30|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 13:45:30|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4
+[06-21 13:45:30|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 13:45:30|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 13:45:30|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 13:45:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 13:45:30|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 13:45:30|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 13:45:30|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 13:45:30|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 13:45:48|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 13:50:55|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 13:50:55|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 13:50:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 13:50:55|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 13:50:55|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 13:50:55|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 13:50:55|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 13:50:57|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 13:55:58|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 313.2856137724593
+[06-21 13:55:59|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 13:56:00|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.5_rm1/sunny_weather_2b_step35_bg0.5_rm1_control_edge.mp4
+[06-21 13:56:00|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 13:56:00|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 13:56:01|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_bg0.5_rm1/sunny_weather_2b_step35_bg0.5_rm1.mp4
diff --git a/test/sunny/weather/2b_step35_bg0.5_rm1/spec.json b/test/sunny/weather/2b_step35_bg0.5_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..1b5e33ce65d0d0aaa1f228309578507c50e5c4f4
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.5_rm1/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "sunny_weather_2b_step35_bg0.5_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows."
+}
\ No newline at end of file
diff --git a/test/sunny/weather/2b_step35_bg0.5_rm1/sunny_weather_2b_step35_bg0.5_rm1.json b/test/sunny/weather/2b_step35_bg0.5_rm1/sunny_weather_2b_step35_bg0.5_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..e68a523520e08bf9a17cf1947ee0aa21a43a9075
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.5_rm1/sunny_weather_2b_step35_bg0.5_rm1.json
@@ -0,0 +1 @@
+{"name":"sunny_weather_2b_step35_bg0.5_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/sunny/weather/2b_step35_bg0.5_rm1/sunny_weather_2b_step35_bg0.5_rm1.mp4 b/test/sunny/weather/2b_step35_bg0.5_rm1/sunny_weather_2b_step35_bg0.5_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..aca6d5904317ba2a1251ebce258b7992d289c775
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.5_rm1/sunny_weather_2b_step35_bg0.5_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ce93583e17661d0d91f5af79f9065dba81310f9b8bf660f12ca33f92240e47b5
+size 6483354
diff --git a/test/sunny/weather/2b_step35_bg0.5_rm1/sunny_weather_2b_step35_bg0.5_rm1.txt b/test/sunny/weather/2b_step35_bg0.5_rm1/sunny_weather_2b_step35_bg0.5_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..464b6055f679cb63d0db8e54bd910217c87b403b
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.5_rm1/sunny_weather_2b_step35_bg0.5_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.
\ No newline at end of file
diff --git a/test/sunny/weather/2b_step35_bg0.5_rm1/sunny_weather_2b_step35_bg0.5_rm1_control_edge.mp4 b/test/sunny/weather/2b_step35_bg0.5_rm1/sunny_weather_2b_step35_bg0.5_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..a7e58d7f057ee0f0db3dd0132c780ecd3d41a7e8
--- /dev/null
+++ b/test/sunny/weather/2b_step35_bg0.5_rm1/sunny_weather_2b_step35_bg0.5_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7a99f3639d51bc435cf50318e1c689dd0c653511fe4a724911e93c08403523ea
+size 1859428
diff --git a/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/config.yaml b/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..3330d84b0005f56ed3b084414caf998f4f47f9e1
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fd5f050f370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fd5f050f370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fd5f050f490>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7fd5f050fa30>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fd5f050f490>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7fd5f050fe20>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7fd5f49fba30>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7fd5f04204c0>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/console.log b/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..4110bbd338d43559087449a746b9ac65a52f6703
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/console.log
@@ -0,0 +1,18 @@
+[06-21 13:56:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 13:56:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 13:56:31|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 13:56:31|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 13:56:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 13:56:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 13:56:37|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 13:56:37|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.1_rm0.5/config.yaml
+[06-21 13:56:37|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_2b_step35_masked_bg0.1_rm0.5']
+[06-21 13:56:37|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_2b_step35_masked_bg0.1_rm0.5
+[06-21 13:56:37|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.1_rm0.5/sunny_weather_2b_step35_masked_bg0.1_rm0.5.json
+[06-21 13:56:37|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 13:56:37|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/weather_mask.mp4', 'edge_mask_prompt': None}
+[06-21 14:07:07|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.1_rm0.5/sunny_weather_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4
+[06-21 14:07:07|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 14:07:09|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.1_rm0.5/sunny_weather_2b_step35_masked_bg0.1_rm0.5.mp4
diff --git a/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/debug.log b/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..e21081f35c2fb4d60ef4b81ad7057ea64a4f0b9d
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/debug.log
@@ -0,0 +1,975 @@
+[06-21 13:56:12|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 13:56:12|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 13:56:12|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 13:56:23|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 13:56:24|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 13:56:24|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.1_rm0.5') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 13:56:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 13:56:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 13:56:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 13:56:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 13:56:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 13:56:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 13:56:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 13:56:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 13:56:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 13:56:24|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 13:56:24|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 13:56:24|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 13:56:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 13:56:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 13:56:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 13:56:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 13:56:24|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 13:56:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 13:56:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 13:56:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 13:56:24|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 13:56:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 13:56:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 13:56:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 13:56:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 13:56:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 13:56:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 13:56:25|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 13:56:25|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 13:56:25|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 13:56:25|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 13:56:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 13:56:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 13:56:26|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 13:56:26|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 1.12 s
+[06-21 13:56:29|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 13:56:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 13:56:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 13:56:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 13:56:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 13:56:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 13:56:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 13:56:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 13:56:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 13:56:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 13:56:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 13:56:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 13:56:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 13:56:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 13:56:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 13:56:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.08 s
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.85 s
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.15 s
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.15 s
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 13:56:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 13:56:31|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 13:56:31|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 13:56:31|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 13:56:31|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 13:56:31|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 13:56:31|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 13:56:35|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 13:56:35|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 13:56:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 13:56:35|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 10.06 s
+[06-21 13:56:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 13:56:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 13:56:35|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 13:56:36|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 13:56:37|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 13:56:37|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 13:56:37|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 13:56:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 13:56:37|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 13:56:37|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.1_rm0.5/config.yaml
+[06-21 13:56:37|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_2b_step35_masked_bg0.1_rm0.5']
+[06-21 13:56:37|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_2b_step35_masked_bg0.1_rm0.5
+[06-21 13:56:37|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_weather_2b_step35_masked_bg0.1_rm0.5' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4'), control_weight=1.0, mask_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/weather_mask.mp4'), mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 13:56:37|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.1_rm0.5/sunny_weather_2b_step35_masked_bg0.1_rm0.5.json
+[06-21 13:56:37|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 13:56:37|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/weather_mask.mp4', 'edge_mask_prompt': None}
+[06-21 13:56:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 13:56:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4
+[06-21 13:56:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 13:56:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 13:56:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 13:56:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 13:56:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 13:56:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 13:56:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4
+[06-21 13:56:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 179
+[06-21 13:56:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/weather_mask.mp4
+[06-21 13:56:38|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 13:56:38|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 13:56:38|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 13:56:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 13:56:38|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 13:56:38|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 13:56:38|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 13:56:38|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 13:56:56|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:02:03|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 14:02:03|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 14:02:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 14:02:03|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 14:02:03|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:02:03|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 14:02:03|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:02:05|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:07:06|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 313.22715163009707
+[06-21 14:07:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 14:07:07|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.1_rm0.5/sunny_weather_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4
+[06-21 14:07:07|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 14:07:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 14:07:09|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.1_rm0.5/sunny_weather_2b_step35_masked_bg0.1_rm0.5.mp4
diff --git a/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/spec.json b/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..f5c044abccbc763f8b18a201736acd4a74258835
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/spec.json
@@ -0,0 +1,14 @@
+{
+  "name": "sunny_weather_2b_step35_masked_bg0.1_rm0.5",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4",
+    "control_weight": 1.0,
+    "mask_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/weather_mask.mp4"
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows."
+}
\ No newline at end of file
diff --git a/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/sunny_weather_2b_step35_masked_bg0.1_rm0.5.json b/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/sunny_weather_2b_step35_masked_bg0.1_rm0.5.json
new file mode 100644
index 0000000000000000000000000000000000000000..60ab6760a99bc0f7726b729fbec868697bc5d372
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/sunny_weather_2b_step35_masked_bg0.1_rm0.5.json
@@ -0,0 +1 @@
+{"name":"sunny_weather_2b_step35_masked_bg0.1_rm0.5","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4","control_weight":1.0,"mask_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/weather_mask.mp4","mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/sunny_weather_2b_step35_masked_bg0.1_rm0.5.mp4 b/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/sunny_weather_2b_step35_masked_bg0.1_rm0.5.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..6e5b0cf2f898e7b42109dede8c4cdebec7cff513
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/sunny_weather_2b_step35_masked_bg0.1_rm0.5.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0062d7b3bff682541a97cfd9db533fc4300a2fe3b4554aeece46ae9ec2a59b33
+size 2008475
diff --git a/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/sunny_weather_2b_step35_masked_bg0.1_rm0.5.txt b/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/sunny_weather_2b_step35_masked_bg0.1_rm0.5.txt
new file mode 100644
index 0000000000000000000000000000000000000000..464b6055f679cb63d0db8e54bd910217c87b403b
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/sunny_weather_2b_step35_masked_bg0.1_rm0.5.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.
\ No newline at end of file
diff --git a/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/sunny_weather_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4 b/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/sunny_weather_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..57d19047156e4e2e4999849fd2eccc6313ed927e
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.1_rm0.5/sunny_weather_2b_step35_masked_bg0.1_rm0.5_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:10edda3086229ecb752df1c5297480d20bfadf17f3d8e650e75fec5138b09e85
+size 1665701
diff --git a/test/sunny/weather/2b_step35_masked_bg0.1_rm1/config.yaml b/test/sunny/weather/2b_step35_masked_bg0.1_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..92d6a5f6964c35fb49674697e64081a87c81fef9
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.1_rm1/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fa2f51cb370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fa2f51cb370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fa2f51cb490>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7fa2f51cba30>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fa2f51cb490>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7fa2f51cbe20>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7fa2f96b3a30>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7fa2f52f0670>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/sunny/weather/2b_step35_masked_bg0.1_rm1/console.log b/test/sunny/weather/2b_step35_masked_bg0.1_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..d021991ec5eb1e0fe8baf1e1bfed160a158c71f6
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.1_rm1/console.log
@@ -0,0 +1,18 @@
+[06-21 14:07:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 14:07:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:07:31|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 14:07:31|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:07:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 14:07:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 14:07:37|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 14:07:37|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.1_rm1/config.yaml
+[06-21 14:07:37|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_2b_step35_masked_bg0.1_rm1']
+[06-21 14:07:37|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_2b_step35_masked_bg0.1_rm1
+[06-21 14:07:37|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.1_rm1/sunny_weather_2b_step35_masked_bg0.1_rm1.json
+[06-21 14:07:37|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 14:07:37|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/weather_mask.mp4', 'edge_mask_prompt': None}
+[06-21 14:18:08|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.1_rm1/sunny_weather_2b_step35_masked_bg0.1_rm1_control_edge.mp4
+[06-21 14:18:08|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 14:18:10|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.1_rm1/sunny_weather_2b_step35_masked_bg0.1_rm1.mp4
diff --git a/test/sunny/weather/2b_step35_masked_bg0.1_rm1/debug.log b/test/sunny/weather/2b_step35_masked_bg0.1_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..6f251e803e9500e66988e54089d71cd5f59ad0e2
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.1_rm1/debug.log
@@ -0,0 +1,975 @@
+[06-21 14:07:12|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 14:07:12|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 14:07:12|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 14:07:23|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 14:07:23|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 14:07:24|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.1_rm1') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 14:07:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 14:07:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 14:07:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 14:07:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 14:07:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 14:07:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 14:07:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 14:07:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 14:07:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 14:07:24|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 14:07:24|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 14:07:24|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 14:07:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 14:07:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 14:07:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 14:07:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 14:07:24|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 14:07:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 14:07:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 14:07:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 14:07:24|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 14:07:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 14:07:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 14:07:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 14:07:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 14:07:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 14:07:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 14:07:25|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 14:07:25|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 14:07:25|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 14:07:25|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 14:07:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 14:07:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 14:07:26|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 14:07:26|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 1.29 s
+[06-21 14:07:29|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 14:07:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 14:07:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 14:07:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 14:07:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 14:07:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 14:07:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 14:07:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 14:07:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 14:07:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 14:07:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 14:07:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 14:07:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 14:07:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 14:07:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 14:07:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.08 s
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.84 s
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.12 s
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.12 s
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 14:07:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:07:31|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 14:07:31|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 14:07:31|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 14:07:31|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 14:07:31|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 14:07:31|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:07:35|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 14:07:35|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 14:07:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 14:07:35|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 10.19 s
+[06-21 14:07:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 14:07:35|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 14:07:35|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 14:07:36|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:36|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:07:37|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 14:07:37|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 14:07:37|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 14:07:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 14:07:37|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 14:07:37|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.1_rm1/config.yaml
+[06-21 14:07:37|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_2b_step35_masked_bg0.1_rm1']
+[06-21 14:07:37|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_2b_step35_masked_bg0.1_rm1
+[06-21 14:07:37|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_weather_2b_step35_masked_bg0.1_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4'), control_weight=1.0, mask_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/weather_mask.mp4'), mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 14:07:37|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.1_rm1/sunny_weather_2b_step35_masked_bg0.1_rm1.json
+[06-21 14:07:37|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 14:07:37|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/weather_mask.mp4', 'edge_mask_prompt': None}
+[06-21 14:07:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 14:07:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4
+[06-21 14:07:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 14:07:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 14:07:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 14:07:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 14:07:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 14:07:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 14:07:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4
+[06-21 14:07:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 14:07:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/weather_mask.mp4
+[06-21 14:07:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 14:07:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 14:07:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 14:07:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 14:07:38|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 14:07:38|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:07:38|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 14:07:38|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:07:56|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:13:02|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 14:13:02|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 14:13:02|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 14:13:02|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 14:13:02|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:13:02|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 14:13:02|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:13:05|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:18:07|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 313.7368939309381
+[06-21 14:18:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 14:18:08|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.1_rm1/sunny_weather_2b_step35_masked_bg0.1_rm1_control_edge.mp4
+[06-21 14:18:08|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 14:18:08|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 14:18:10|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.1_rm1/sunny_weather_2b_step35_masked_bg0.1_rm1.mp4
diff --git a/test/sunny/weather/2b_step35_masked_bg0.1_rm1/spec.json b/test/sunny/weather/2b_step35_masked_bg0.1_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..73452f661fd808387e1b38b04e79d95e45101f3e
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.1_rm1/spec.json
@@ -0,0 +1,14 @@
+{
+  "name": "sunny_weather_2b_step35_masked_bg0.1_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4",
+    "control_weight": 1.0,
+    "mask_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/weather_mask.mp4"
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows."
+}
\ No newline at end of file
diff --git a/test/sunny/weather/2b_step35_masked_bg0.1_rm1/sunny_weather_2b_step35_masked_bg0.1_rm1.json b/test/sunny/weather/2b_step35_masked_bg0.1_rm1/sunny_weather_2b_step35_masked_bg0.1_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..fed0d0ecac9b44ad2c26e75a69a840d1017e95a4
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.1_rm1/sunny_weather_2b_step35_masked_bg0.1_rm1.json
@@ -0,0 +1 @@
+{"name":"sunny_weather_2b_step35_masked_bg0.1_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4","control_weight":1.0,"mask_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/weather_mask.mp4","mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/sunny/weather/2b_step35_masked_bg0.1_rm1/sunny_weather_2b_step35_masked_bg0.1_rm1.mp4 b/test/sunny/weather/2b_step35_masked_bg0.1_rm1/sunny_weather_2b_step35_masked_bg0.1_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..4943630f662d7962f42beb966cda400ce49edb99
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.1_rm1/sunny_weather_2b_step35_masked_bg0.1_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ea886d91f4a53db897a2c2b5b6f845cb0d916de8275616150545b9740f5cf1c0
+size 5578183
diff --git a/test/sunny/weather/2b_step35_masked_bg0.1_rm1/sunny_weather_2b_step35_masked_bg0.1_rm1.txt b/test/sunny/weather/2b_step35_masked_bg0.1_rm1/sunny_weather_2b_step35_masked_bg0.1_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..464b6055f679cb63d0db8e54bd910217c87b403b
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.1_rm1/sunny_weather_2b_step35_masked_bg0.1_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.
\ No newline at end of file
diff --git a/test/sunny/weather/2b_step35_masked_bg0.1_rm1/sunny_weather_2b_step35_masked_bg0.1_rm1_control_edge.mp4 b/test/sunny/weather/2b_step35_masked_bg0.1_rm1/sunny_weather_2b_step35_masked_bg0.1_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..0f511598b9ebb3a5709114063144abdc8c446d7e
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.1_rm1/sunny_weather_2b_step35_masked_bg0.1_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ae7776b7552010f01fb2efeb2ad5b475a27fe85f3a0bc5210c1c415d4afed6cd
+size 2090009
diff --git a/test/sunny/weather/2b_step35_masked_bg0.5_rm1/config.yaml b/test/sunny/weather/2b_step35_masked_bg0.5_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..cac8060872808ddae0a1e7758795a419e06cb0ec
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.5_rm1/config.yaml
@@ -0,0 +1,882 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '1000'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'False'
+  type:
+    _target_: <class 'cosmos_transfer2._src.predict2.checkpointer.dcp.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  dataloaders:
+    image_data:
+      ratio: '0'
+    video_data:
+      dataloader:
+        batch_size: '1'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fdff8c03370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          max_fps_thres: '60'
+          min_fps_thres: '10'
+          num_video_frames: '93'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+    video_data_1:
+      dataloader:
+        batch_size: '6'
+        cache_augment_fn: functools.partial(<function duplicate_batches_random at
+          0x7fdff8c03370>, n=1.8)
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          augmentor_name: video_basic_augmentor_v2_with_control_and_image_context
+          caption_type: t2w_qwen2p5_7b
+          control_input_type: edge
+          dataset_resolution_type: gt720p
+          embedding_type: null
+          num_video_frames: '1'
+          resolution: '720'
+          use_native_fps: 'True'
+          video_decoder_name: video_naive_bytes
+        num_workers: '4'
+        use_cache: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fdff8c03490>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7fdff8c03a30>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7fdff8c03490>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7fdff8c03e20>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+defaults:
+- _self_
+- data_train: mock
+- data_val: mock
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- model: ddp
+- callbacks: basic
+- net: null
+- conditioner: video_prediction_control_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dummy
+- experiment: null
+job:
+  cluster: null
+  group: vid2vid_2B_control
+  name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data
+  project: cosmos_transfer2
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.transfer2.models.vid2vid_model_control_vace_rectified_flow.ControlVideo2WorldModelRectifiedFlow'>
+  config:
+    base_load_from: null
+    conditional_frame_timestep: -1.0
+    conditional_frames_probs:
+      0: 0.4
+      1: 0.4
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditionerImageContext'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      reference_image_context:
+        _target_: <class 'cosmos_transfer2._src.transfer2.networks.siglip2_image_context.SigLip2EmbImgContext'>
+        dropout_rate: '0.5'
+        input_key:
+        - images
+        - video
+        - image_context
+        num_token: '256'
+        output_key: null
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    conditioning_strategy: frame_replace
+    copy_weight_strategy: first_n
+    denoise_replace_gt_frames: true
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    high_sigma_ratio: 0.05
+    high_sigma_timesteps_max: 1000
+    high_sigma_timesteps_min: 980
+    hint_keys: edge
+    init_lora_weights: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    lora_alpha: 32
+    lora_rank: 32
+    lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_image_context_dim: '1152'
+      extra_per_block_abs_pos_emb: 'False'
+      img_context_deep_proj: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      share_q_in_i2v_cross_attn: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '0.001'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    precision: bfloat16
+    resolution: '720'
+    shift: 5
+    state_ch: 16
+    state_t: 24
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7fdffd0f3a30>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+      temporal_window: '16'
+    train_time_distribution: logitnormal
+    train_time_weight: uniform
+    use_dora: false
+    use_dynamic_shift: false
+    use_high_sigma_strategy: false
+    use_kerras_sigma_at_inference: false
+    use_lora: false
+    use_reference_image: true
+    use_torch_compile: false
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 8
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7fdff8b184c0>
+  betas:
+  - '0.9'
+  - '0.999'
+  eps: 1e-08
+  fused: 'True'
+  lr: '8.63e-05'
+  model: null
+  optim_type: adamw
+  weight_decay: '0.001'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '100000'
+  f_max:
+  - '0.5'
+  f_min:
+  - '0.2'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '200'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '200'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'True'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.every_n_draw_sample.EveryNDrawSample'>
+      every_n: '5000'
+      fix_batch_fp: null
+      fps: '16'
+      guidance:
+      - '0'
+      - '3'
+      - '7'
+      is_ema: 'False'
+      is_sample: 'True'
+      is_x0: 'False'
+      n_sample_to_save: '128'
+      n_viz_sample: '3'
+      n_x0_level: '4'
+      num_sampling_step: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    frame_loss_log:
+      _target_: <class 'cosmos_transfer2._src.transfer2.callbacks.frame_loss_log.FrameLossLog'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '0.1'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '100'
+      hit_thres: '300'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    load_base_model:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.callbacks.LoadBaseModel'>
+      config: null
+      trainer: null
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '200'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.wandb_log.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '200'
+  max_iter: '100000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'True'
+    max_diff: '1.5'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.imaginaire.trainer.ImaginaireTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/sunny/weather/2b_step35_masked_bg0.5_rm1/console.log b/test/sunny/weather/2b_step35_masked_bg0.5_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..69fa5fea1babd210255849d6ec07b828d208c2c5
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.5_rm1/console.log
@@ -0,0 +1,18 @@
+[06-21 14:18:27|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 14:18:27|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:18:33|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 14:18:33|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:18:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 14:18:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 14:18:38|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 14:18:38|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.5_rm1/config.yaml
+[06-21 14:18:38|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_2b_step35_masked_bg0.5_rm1']
+[06-21 14:18:38|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_2b_step35_masked_bg0.5_rm1
+[06-21 14:18:38|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.5_rm1/sunny_weather_2b_step35_masked_bg0.5_rm1.json
+[06-21 14:18:38|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 14:18:38|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/weather_mask.mp4', 'edge_mask_prompt': None}
+[06-21 14:29:10|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.5_rm1/sunny_weather_2b_step35_masked_bg0.5_rm1_control_edge.mp4
+[06-21 14:29:10|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 14:29:12|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.5_rm1/sunny_weather_2b_step35_masked_bg0.5_rm1.mp4
diff --git a/test/sunny/weather/2b_step35_masked_bg0.5_rm1/debug.log b/test/sunny/weather/2b_step35_masked_bg0.5_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..8f16300027d7a5db252d3dc32fe73e279675e836
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.5_rm1/debug.log
@@ -0,0 +1,975 @@
+[06-21 14:18:13|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False)
+[06-21 14:18:14|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 14:18:14|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 14:18:25|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 14:18:25|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 14:18:26|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.5_rm1') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 14:18:26|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 14:18:26|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 14:18:26|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 14:18:26|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 14:18:26|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 14:18:26|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 14:18:26|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 14:18:26|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 14:18:26|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 14:18:26|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 14:18:26|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 14:18:26|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment
+[06-21 14:18:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 14:18:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale
+[06-21 14:18:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit
+[06-21 14:18:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list
+[06-21 14:18:26|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av
+[06-21 14:18:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore
+[06-21 14:18:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale
+[06-21 14:18:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list
+[06-21 14:18:26|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments
+[06-21 14:18:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot
+[06-21 14:18:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example
+[06-21 14:18:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview
+[06-21 14:18:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example
+[06-21 14:18:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview
+[06-21 14:18:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example
+[06-21 14:18:26|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 14:18:26|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 14:18:26|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000
+[06-21 14:18:26|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16
+[06-21 14:18:27|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 14:18:27|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 14:18:27|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 14:18:27|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 1.16 s
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] <All keys matched successfully>
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: 
+ SigLip2EmbImgContext 
+	input key: ['images', 'video', 'image_context']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.5
+	Input key: ['images', 'video', 'image_context'] 
+	Output key: ['img_context_emb']
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:18:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.08 s
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 0.83 s
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.11 s
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.11 s
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] 
+Freezing base model
+
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint.
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 14:18:32|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 14:18:33|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 14:18:33|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 14:18:33|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 14:18:36|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 14:18:36|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 14:18:36|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (img_context_proj): Sequential(
+    (0): Linear(in_features=1152, out_features=2048, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): I2VCrossAttentionFull(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): DotProductAttention(
+            (flash_attention): FlashAttention()
+            (fused_attention): FusedAttention()
+            (unfused_attention): UnfusedDotProductAttention(
+              (scale_mask_softmax): FusedScaleMaskSoftmax()
+              (attention_dropout): Dropout(p=0, inplace=False)
+            )
+          )
+          (k_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_img_norm): RMSNorm()
+          (k_img_norm): RMSNorm()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 14:18:36|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 10.05 s
+[06-21 14:18:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125)
+[06-21 14:18:36|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision b67b64abda3801a9aceddbff2bdb86126c06db74 general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 14:18:37|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt
+[06-21 14:18:38|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 14:18:38|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 14:18:38|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None
+[06-21 14:18:38|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True).
+[06-21 14:18:38|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 14:18:38|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 14:18:38|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.5_rm1/config.yaml
+[06-21 14:18:38|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_2b_step35_masked_bg0.5_rm1']
+[06-21 14:18:38|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_2b_step35_masked_bg0.5_rm1
+[06-21 14:18:38|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_weather_2b_step35_masked_bg0.5_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4'), control_weight=1.0, mask_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/weather_mask.mp4'), mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 14:18:38|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.5_rm1/sunny_weather_2b_step35_masked_bg0.5_rm1.json
+[06-21 14:18:38|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 14:18:38|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4', 'edge_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/weather_mask.mp4', 'edge_mask_prompt': None}
+[06-21 14:18:38|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 14:18:38|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4
+[06-21 14:18:38|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 14:18:38|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 14:18:39|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings...
+[06-21 14:18:39|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 14:18:39|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 14:18:39|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 14:18:39|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4
+[06-21 14:18:39|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 14:18:39|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/weather_mask.mp4
+[06-21 14:18:39|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 14:18:39|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 14:18:39|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 14:18:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 14:18:39|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 14:18:39|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:18:39|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 14:18:39|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:18:57|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:24:04|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 14:24:04|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 14:24:04|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY]
+[06-21 14:24:05|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context
+[06-21 14:24:05|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:24:05|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context
+[06-21 14:24:05|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:24:07|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents
+[06-21 14:29:09|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 314.1466989730252
+[06-21 14:29:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 14:29:10|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.5_rm1/sunny_weather_2b_step35_masked_bg0.5_rm1_control_edge.mp4
+[06-21 14:29:10|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 14:29:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 14:29:12|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/2b_step35_masked_bg0.5_rm1/sunny_weather_2b_step35_masked_bg0.5_rm1.mp4
diff --git a/test/sunny/weather/2b_step35_masked_bg0.5_rm1/spec.json b/test/sunny/weather/2b_step35_masked_bg0.5_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..cc1062f9e0564c07d97cb13c61903ccd31d3490e
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.5_rm1/spec.json
@@ -0,0 +1,14 @@
+{
+  "name": "sunny_weather_2b_step35_masked_bg0.5_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 35,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4",
+    "control_weight": 1.0,
+    "mask_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/weather_mask.mp4"
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows."
+}
\ No newline at end of file
diff --git a/test/sunny/weather/2b_step35_masked_bg0.5_rm1/sunny_weather_2b_step35_masked_bg0.5_rm1.json b/test/sunny/weather/2b_step35_masked_bg0.5_rm1/sunny_weather_2b_step35_masked_bg0.5_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..689e5b637452c345ffa6914909e5b094c16046fe
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.5_rm1/sunny_weather_2b_step35_masked_bg0.5_rm1.json
@@ -0,0 +1 @@
+{"name":"sunny_weather_2b_step35_masked_bg0.5_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4","control_weight":1.0,"mask_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_masks/sunny/weather_mask.mp4","mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/sunny/weather/2b_step35_masked_bg0.5_rm1/sunny_weather_2b_step35_masked_bg0.5_rm1.mp4 b/test/sunny/weather/2b_step35_masked_bg0.5_rm1/sunny_weather_2b_step35_masked_bg0.5_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..14746a1860b4effeb3eba007815d17f634f3a961
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.5_rm1/sunny_weather_2b_step35_masked_bg0.5_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:30cb439d8b8688ad8f4600cba71376d0088a295826a419140af6fbc626fea9fd
+size 6555571
diff --git a/test/sunny/weather/2b_step35_masked_bg0.5_rm1/sunny_weather_2b_step35_masked_bg0.5_rm1.txt b/test/sunny/weather/2b_step35_masked_bg0.5_rm1/sunny_weather_2b_step35_masked_bg0.5_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..464b6055f679cb63d0db8e54bd910217c87b403b
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.5_rm1/sunny_weather_2b_step35_masked_bg0.5_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.
\ No newline at end of file
diff --git a/test/sunny/weather/2b_step35_masked_bg0.5_rm1/sunny_weather_2b_step35_masked_bg0.5_rm1_control_edge.mp4 b/test/sunny/weather/2b_step35_masked_bg0.5_rm1/sunny_weather_2b_step35_masked_bg0.5_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..3691db77a46183e1e2ff4e8fbf0800ceb256f5cb
--- /dev/null
+++ b/test/sunny/weather/2b_step35_masked_bg0.5_rm1/sunny_weather_2b_step35_masked_bg0.5_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:363678c60e85c2017c742e268aff3ce36025bad0c3799e15dadd48810a21b9c6
+size 2156618
diff --git a/test/sunny/weather/distilled_step4_bg0.1_rm0.5/config.yaml b/test/sunny/weather/distilled_step4_bg0.1_rm0.5/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..3ee6749ed0c3cab55fcda0d37450e414e61f1519
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.1_rm0.5/config.yaml
@@ -0,0 +1,956 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: ''
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '500'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'True'
+  type:
+    _target_: <class 'cosmos_transfer2._src.interactive.checkpointer.dcp_distill.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f74965c2dd0>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f74965c2f80>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f74965c2dd0>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f74965c32e0>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val: null
+defaults:
+- _self_
+- data_train: null
+- data_val: null
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- callbacks: basic
+- model: ddp
+- net: null
+- net_fake_score: null
+- net_teacher: null
+- net_discriminator_head: null
+- conditioner: video_prediction_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dcp_distill
+- condition_postprocessor: null
+- experiment: null
+job:
+  cluster: null
+  group: cosmos3_interactive
+  name: dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge
+  project: cosmos_interactive
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.interactive.methods.distribution_matching.dmd2.DMD2Model'>
+  config:
+    base_load_from: null
+    condition_postprocessor:
+      _target_: <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>
+      hint_keys:
+      - edge
+    conditional_frames_probs:
+      0: 0.6
+      1: 0.2
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditioner'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    grad_clip: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    intermediate_feature_ids: null
+    load_teacher_weights: false
+    loss_reduce: mean
+    loss_scale_GAN_discriminator: 1.0
+    loss_scale_GAN_generator: 1.0
+    loss_scale_fake_score: 1.0
+    loss_scale_sid: 1.0
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    multiply_noise_by_video_len: true
+    neg_embed_path: ''
+    neg_prompt_str: The video captures a game playing, with bad crappy graphics and
+      cartoonish frames. It represents a recording of old outdated games. The lighting
+      looks very fake. The textures are very raw and basic. The geometries are very
+      primitive. The images are very pixelated and of poor CG quality. There are many
+      subtitles in the footage. Overall, the video is unrealistic at all.
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_discriminator_head: null
+    net_fake_score:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_teacher:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    noise_level_parameterization: trigflow
+    optimizer_discriminator_config:
+      _target_: <function get_base_optimizer at 0x7f74e7aedcf0>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    optimizer_fake_score_config:
+      _target_: <function get_base_optimizer at 0x7f74e7aedcf0>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    precision: bfloat16
+    rectified_flow_loss_weight_uniform: false
+    rectified_flow_t_scaling_factor: 1.0
+    replace_cond_output_with_gt: true
+    resolution: '720'
+    scaling: rectified_flow
+    sde:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '-0.8'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    sde_D:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '0.0'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    selected_sampling_time:
+    - 1.5707963267948966
+    - 1.5042281630190728
+    - 1.373400766945016
+    - 1.0303768265243125
+    sigma_conditional: 0.0001
+    sigma_data: 1.0
+    state_ch: 16
+    state_t: 24
+    student_load_from: null
+    student_update_freq: 5
+    teacher_guidance: 3.0
+    teacher_load_from:
+      credentials: credentials/s3_checkpoint.secret
+      load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_nonuniform_hqv3p1_20250714_64N_rectified_flow/checkpoints/iter_000029000/model
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f74ec18f9a0>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    timestep_shift: 5.0
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+    use_clean_cond_timesteps: true
+    use_neg_prompt_str: false
+    use_torch_compile: false
+    vis_debug: false
+    warmup_steps: 1
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 4
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f74e7aedcf0>
+  betas:
+  - '0.9'
+  - '0.999'
+  capturable: 'True'
+  eps: 1e-08
+  lr: 1e-06
+  master_weights: 'True'
+  model: null
+  optim_type: fusedadam
+  weight_decay: '0.01'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '400000'
+  f_max:
+  - '0.99'
+  f_min:
+  - '0.4'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '10'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'True'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'False'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '1.0'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '10'
+      hit_thres: '100'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '5'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '10'
+  max_iter: '30000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'False'
+    max_diff: '2.0'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.interactive.trainer.trainer_distillation.ImaginaireDistillationTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/sunny/weather/distilled_step4_bg0.1_rm0.5/console.log b/test/sunny/weather/distilled_step4_bg0.1_rm0.5/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..f5979c1f0d2360325c56142e4a60dec9dbcf3ab8
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.1_rm0.5/console.log
@@ -0,0 +1,22 @@
+[06-21 19:34:06|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 19:34:06|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 19:34:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 19:34:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:34:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 19:34:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:34:59|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 19:34:59|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 19:35:31|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 19:35:31|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 19:35:31|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.1_rm0.5/config.yaml
+[06-21 19:35:31|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_distilled_step4_bg0.1_rm0.5']
+[06-21 19:35:31|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_distilled_step4_bg0.1_rm0.5
+[06-21 19:35:31|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.1_rm0.5/sunny_weather_distilled_step4_bg0.1_rm0.5.json
+[06-21 19:35:31|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 19:35:31|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 19:37:22|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 19:37:25|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.1_rm0.5/sunny_weather_distilled_step4_bg0.1_rm0.5_control_edge.mp4
+[06-21 19:37:25|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 19:37:26|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.1_rm0.5/sunny_weather_distilled_step4_bg0.1_rm0.5.mp4
diff --git a/test/sunny/weather/distilled_step4_bg0.1_rm0.5/debug.log b/test/sunny/weather/distilled_step4_bg0.1_rm0.5/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..2e5dcc414ae768580081c2c05ebe1d8561c90e3c
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.1_rm0.5/debug.log
@@ -0,0 +1,1484 @@
+[06-21 19:30:26|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=True)
+[06-21 19:30:51|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 19:30:51|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 19:33:37|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 19:33:47|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 19:33:58|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.1_rm0.5') model='edge/distilled' checkpoint_path='s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000' experiment='dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge' config_file='cosmos_transfer2/_src/interactive/configs/registry_transfer2p5.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 19:33:59|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 19:34:00|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 19:34:05|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 19:34:05|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 19:34:05|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 19:34:05|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 19:34:05|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 19:34:05|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 19:34:05|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 19:34:05|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 19:34:05|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 19:34:05|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.interactive.configs.registry_experiment
+[06-21 19:34:05|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiment_list
+[06-21 19:34:05|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_ac_predict2p5
+[06-21 19:34:06|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 19:34:06|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 19:34:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_predict2p5
+[06-21 19:34:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_transfer2p5
+[06-21 19:34:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_knowledge_distill_ac_predict2p5
+[06-21 19:34:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_self_forcing_ac_predict2p5
+[06-21 19:34:21|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 19:34:21|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:81:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000
+[06-21 19:34:21|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:109:load_model_from_checkpoint] Setting load_teacher_weights=False for inference to skip teacher checkpoint download
+[06-21 19:34:21|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:94:__init__] Setting precision to torch.bfloat16
+[06-21 19:34:21|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 19:34:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 19:34:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:34:23|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 19:34:23|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 19:34:23|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 19:34:25|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 19:34:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 19:34:25|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:34:58|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 19:34:58|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 19:34:59|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 19:34:59|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 19:35:01|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 19:35:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 19:35:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 19:35:01|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:02|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:35:02|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:35:06|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 5.04 s
+[06-21 19:35:06|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 19:35:06|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 19:35:06|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 19:35:06|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 19:35:06|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 19:35:06|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 19:35:06|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 19:35:06|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 19:35:06|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 19:35:06|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 19:35:06|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 19:35:06|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 19:35:06|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 19:35:06|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 19:35:06|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:231:build_model] 
+
+==============config condition_postprocessor: {'hint_keys': ['edge'], '_target_': <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>}
+[06-21 19:35:06|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:232:build_model] 
+
+==============condition_postprocessor: <cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor object at 0x7f7495b834c0>
+[06-21 19:35:06|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_model: 45.03 s
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:06|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.65 s
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:35:07|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:35:07|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.65 s
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:86:build_model] ==========Instantiating networks...==========
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:87:build_model] net: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:88:build_model] net_teacher: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:89:build_model] net_fake_score: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:128:build_model] Freezing the CR1 embedding projection layer in student net..
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:132:build_model] Freezing the CR1 embedding projection layer in fake score net..
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:135:build_model] Freezing teacher net..
+[06-21 19:35:08|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:119:setup_loss_specs] Using mean loss reduce with loss scale 1.0
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 46.82 s
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 19:35:08|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 19:35:09|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:214:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/bbaeedb2b57cc8b14a44653099e2551adb69dcc7/distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 19:35:31|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:173:_process_pt_state_dict_for_ema] Loading EMA-exported checkpoint with net.* keys directly
+[06-21 19:35:31|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:408:load_state_dict] load model in non-strict mode
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:35:31|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:409:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 19:35:31|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:819:load_state_dict] load fake score model in non-strict mode
+[06-21 19:35:31|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:820:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['accum_video_sample_counter', 'accum_image_sample_counter', 'accum_iteration', 'accum_train_in_hours', 'x_embedder.proj.1.weight', 'pos_embedder.seq', 'pos_embedder.dim_spatial_range', 'pos_embedder.dim_temporal_range', 't_embedder.1.linear_1.weight', 't_embedder.1.linear_2.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.linear.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.1.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.2.weight', 't_embedding_norm.weight', 'crossattn_proj.0.weight', 'crossattn_proj.0.bias', 'control_embedder.proj.1.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.bias'], unexpected_keys=[], incorrect_shapes=[])
+[06-21 19:35:31|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 19:35:31|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 19:35:31|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 19:35:31|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.1_rm0.5/config.yaml
+[06-21 19:35:31|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_distilled_step4_bg0.1_rm0.5']
+[06-21 19:35:31|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_distilled_step4_bg0.1_rm0.5
+[06-21 19:35:31|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_weather_distilled_step4_bg0.1_rm0.5' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=4 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 19:35:31|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.1_rm0.5/sunny_weather_distilled_step4_bg0.1_rm0.5.json
+[06-21 19:35:31|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 19:35:31|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 19:35:31|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 19:35:31|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4
+[06-21 19:35:36|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 19:35:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 19:35:50|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 19:35:50|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 19:35:50|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 19:35:50|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4
+[06-21 19:35:50|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 179
+[06-21 19:35:50|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 19:35:50|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 19:36:53|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 19:36:53|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 19:37:22|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 44.730796365998685
+[06-21 19:37:22|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 19:37:23|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 19:37:25|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.1_rm0.5/sunny_weather_distilled_step4_bg0.1_rm0.5_control_edge.mp4
+[06-21 19:37:25|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 19:37:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 19:37:26|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.1_rm0.5/sunny_weather_distilled_step4_bg0.1_rm0.5.mp4
diff --git a/test/sunny/weather/distilled_step4_bg0.1_rm0.5/spec.json b/test/sunny/weather/distilled_step4_bg0.1_rm0.5/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..fcb3354ebe8c860d0d9a33fc969cb9d0d6e7e9ca
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.1_rm0.5/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "sunny_weather_distilled_step4_bg0.1_rm0.5",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 4,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows."
+}
\ No newline at end of file
diff --git a/test/sunny/weather/distilled_step4_bg0.1_rm0.5/sunny_weather_distilled_step4_bg0.1_rm0.5.json b/test/sunny/weather/distilled_step4_bg0.1_rm0.5/sunny_weather_distilled_step4_bg0.1_rm0.5.json
new file mode 100644
index 0000000000000000000000000000000000000000..009f3e49e02ad30c2a82ce0cd94cc1ea3d073a3c
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.1_rm0.5/sunny_weather_distilled_step4_bg0.1_rm0.5.json
@@ -0,0 +1 @@
+{"name":"sunny_weather_distilled_step4_bg0.1_rm0.5","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":4,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm0.5.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/sunny/weather/distilled_step4_bg0.1_rm0.5/sunny_weather_distilled_step4_bg0.1_rm0.5.mp4 b/test/sunny/weather/distilled_step4_bg0.1_rm0.5/sunny_weather_distilled_step4_bg0.1_rm0.5.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..0f5dbdd56324333a61265c89ba98272a0cd64a0a
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.1_rm0.5/sunny_weather_distilled_step4_bg0.1_rm0.5.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:34227a45146ebe9af4982c9dea2e85d8f3f07c0da678f1020b0311ef76f16644
+size 1681068
diff --git a/test/sunny/weather/distilled_step4_bg0.1_rm0.5/sunny_weather_distilled_step4_bg0.1_rm0.5.txt b/test/sunny/weather/distilled_step4_bg0.1_rm0.5/sunny_weather_distilled_step4_bg0.1_rm0.5.txt
new file mode 100644
index 0000000000000000000000000000000000000000..464b6055f679cb63d0db8e54bd910217c87b403b
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.1_rm0.5/sunny_weather_distilled_step4_bg0.1_rm0.5.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.
\ No newline at end of file
diff --git a/test/sunny/weather/distilled_step4_bg0.1_rm0.5/sunny_weather_distilled_step4_bg0.1_rm0.5_control_edge.mp4 b/test/sunny/weather/distilled_step4_bg0.1_rm0.5/sunny_weather_distilled_step4_bg0.1_rm0.5_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..31517dea0588b3196cdefd6c05d01c13532f321a
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.1_rm0.5/sunny_weather_distilled_step4_bg0.1_rm0.5_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82d37f9770a7b373f8f9fb16267abb84131023d9ecda8dcc622bb8cf91dbfb93
+size 1419864
diff --git a/test/sunny/weather/distilled_step4_bg0.1_rm1/config.yaml b/test/sunny/weather/distilled_step4_bg0.1_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d1a8509330ef6d00db684adcedb5b03bd7915ea6
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.1_rm1/config.yaml
@@ -0,0 +1,956 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: ''
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '500'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'True'
+  type:
+    _target_: <class 'cosmos_transfer2._src.interactive.checkpointer.dcp_distill.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f20e10aadd0>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f20e10aaf80>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f20e10aadd0>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f20e10ab2e0>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val: null
+defaults:
+- _self_
+- data_train: null
+- data_val: null
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- callbacks: basic
+- model: ddp
+- net: null
+- net_fake_score: null
+- net_teacher: null
+- net_discriminator_head: null
+- conditioner: video_prediction_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dcp_distill
+- condition_postprocessor: null
+- experiment: null
+job:
+  cluster: null
+  group: cosmos3_interactive
+  name: dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge
+  project: cosmos_interactive
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.interactive.methods.distribution_matching.dmd2.DMD2Model'>
+  config:
+    base_load_from: null
+    condition_postprocessor:
+      _target_: <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>
+      hint_keys:
+      - edge
+    conditional_frames_probs:
+      0: 0.6
+      1: 0.2
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditioner'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    grad_clip: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    intermediate_feature_ids: null
+    load_teacher_weights: false
+    loss_reduce: mean
+    loss_scale_GAN_discriminator: 1.0
+    loss_scale_GAN_generator: 1.0
+    loss_scale_fake_score: 1.0
+    loss_scale_sid: 1.0
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    multiply_noise_by_video_len: true
+    neg_embed_path: ''
+    neg_prompt_str: The video captures a game playing, with bad crappy graphics and
+      cartoonish frames. It represents a recording of old outdated games. The lighting
+      looks very fake. The textures are very raw and basic. The geometries are very
+      primitive. The images are very pixelated and of poor CG quality. There are many
+      subtitles in the footage. Overall, the video is unrealistic at all.
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_discriminator_head: null
+    net_fake_score:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_teacher:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    noise_level_parameterization: trigflow
+    optimizer_discriminator_config:
+      _target_: <function get_base_optimizer at 0x7f21325d1cf0>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    optimizer_fake_score_config:
+      _target_: <function get_base_optimizer at 0x7f21325d1cf0>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    precision: bfloat16
+    rectified_flow_loss_weight_uniform: false
+    rectified_flow_t_scaling_factor: 1.0
+    replace_cond_output_with_gt: true
+    resolution: '720'
+    scaling: rectified_flow
+    sde:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '-0.8'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    sde_D:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '0.0'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    selected_sampling_time:
+    - 1.5707963267948966
+    - 1.5042281630190728
+    - 1.373400766945016
+    - 1.0303768265243125
+    sigma_conditional: 0.0001
+    sigma_data: 1.0
+    state_ch: 16
+    state_t: 24
+    student_load_from: null
+    student_update_freq: 5
+    teacher_guidance: 3.0
+    teacher_load_from:
+      credentials: credentials/s3_checkpoint.secret
+      load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_nonuniform_hqv3p1_20250714_64N_rectified_flow/checkpoints/iter_000029000/model
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f2136c839a0>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    timestep_shift: 5.0
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+    use_clean_cond_timesteps: true
+    use_neg_prompt_str: false
+    use_torch_compile: false
+    vis_debug: false
+    warmup_steps: 1
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 4
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f21325d1cf0>
+  betas:
+  - '0.9'
+  - '0.999'
+  capturable: 'True'
+  eps: 1e-08
+  lr: 1e-06
+  master_weights: 'True'
+  model: null
+  optim_type: fusedadam
+  weight_decay: '0.01'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '400000'
+  f_max:
+  - '0.99'
+  f_min:
+  - '0.4'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '10'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'True'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'False'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '1.0'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '10'
+      hit_thres: '100'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '5'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '10'
+  max_iter: '30000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'False'
+    max_diff: '2.0'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.interactive.trainer.trainer_distillation.ImaginaireDistillationTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/sunny/weather/distilled_step4_bg0.1_rm1/console.log b/test/sunny/weather/distilled_step4_bg0.1_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..46b3cd7e959e2a82a2b030e35ae97818bbb723cc
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.1_rm1/console.log
@@ -0,0 +1,22 @@
+[06-21 19:39:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 19:39:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 19:39:22|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 19:39:22|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:39:23|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 19:39:23|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:39:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 19:39:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 19:39:32|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 19:39:32|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 19:39:32|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.1_rm1/config.yaml
+[06-21 19:39:32|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_distilled_step4_bg0.1_rm1']
+[06-21 19:39:32|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_distilled_step4_bg0.1_rm1
+[06-21 19:39:32|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.1_rm1/sunny_weather_distilled_step4_bg0.1_rm1.json
+[06-21 19:39:32|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 19:39:32|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 19:40:38|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 19:40:39|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.1_rm1/sunny_weather_distilled_step4_bg0.1_rm1_control_edge.mp4
+[06-21 19:40:39|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 19:40:40|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.1_rm1/sunny_weather_distilled_step4_bg0.1_rm1.mp4
diff --git a/test/sunny/weather/distilled_step4_bg0.1_rm1/debug.log b/test/sunny/weather/distilled_step4_bg0.1_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..9e4ef92159a0d2efafbfe84469864d7cc77e4510
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.1_rm1/debug.log
@@ -0,0 +1,1484 @@
+[06-21 19:39:09|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=True)
+[06-21 19:39:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 19:39:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 19:39:20|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 19:39:21|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 19:39:21|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.1_rm1') model='edge/distilled' checkpoint_path='s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000' experiment='dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge' config_file='cosmos_transfer2/_src/interactive/configs/registry_transfer2p5.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 19:39:21|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 19:39:21|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 19:39:21|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 19:39:21|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 19:39:21|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 19:39:21|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 19:39:21|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 19:39:21|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 19:39:21|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 19:39:21|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 19:39:21|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 19:39:21|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.interactive.configs.registry_experiment
+[06-21 19:39:21|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiment_list
+[06-21 19:39:21|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_ac_predict2p5
+[06-21 19:39:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 19:39:21|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 19:39:22|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_predict2p5
+[06-21 19:39:22|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_transfer2p5
+[06-21 19:39:22|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_knowledge_distill_ac_predict2p5
+[06-21 19:39:22|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_self_forcing_ac_predict2p5
+[06-21 19:39:22|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 19:39:22|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:81:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000
+[06-21 19:39:22|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:109:load_model_from_checkpoint] Setting load_teacher_weights=False for inference to skip teacher checkpoint download
+[06-21 19:39:22|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:94:__init__] Setting precision to torch.bfloat16
+[06-21 19:39:22|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 19:39:22|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 19:39:22|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:39:23|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 19:39:23|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 19:39:23|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 19:39:23|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 19:39:23|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 19:39:23|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:39:27|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 19:39:27|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 19:39:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 19:39:28|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 19:39:28|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:28|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.65 s
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:231:build_model] 
+
+==============config condition_postprocessor: {'hint_keys': ['edge'], '_target_': <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>}
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:232:build_model] 
+
+==============condition_postprocessor: <cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor object at 0x7f20e0eaf460>
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_model: 6.98 s
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:39:29|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:29|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.65 s
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:39:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.64 s
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:86:build_model] ==========Instantiating networks...==========
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:87:build_model] net: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:88:build_model] net_teacher: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:89:build_model] net_fake_score: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:128:build_model] Freezing the CR1 embedding projection layer in student net..
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:132:build_model] Freezing the CR1 embedding projection layer in fake score net..
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:135:build_model] Freezing teacher net..
+[06-21 19:39:30|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:119:setup_loss_specs] Using mean loss reduce with loss scale 1.0
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 8.31 s
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 19:39:30|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 19:39:31|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:214:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/bbaeedb2b57cc8b14a44653099e2551adb69dcc7/distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 19:39:32|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:173:_process_pt_state_dict_for_ema] Loading EMA-exported checkpoint with net.* keys directly
+[06-21 19:39:32|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:408:load_state_dict] load model in non-strict mode
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:39:32|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:409:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 19:39:32|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:819:load_state_dict] load fake score model in non-strict mode
+[06-21 19:39:32|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:820:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['accum_video_sample_counter', 'accum_image_sample_counter', 'accum_iteration', 'accum_train_in_hours', 'x_embedder.proj.1.weight', 'pos_embedder.seq', 'pos_embedder.dim_spatial_range', 'pos_embedder.dim_temporal_range', 't_embedder.1.linear_1.weight', 't_embedder.1.linear_2.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.linear.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.1.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.2.weight', 't_embedding_norm.weight', 'crossattn_proj.0.weight', 'crossattn_proj.0.bias', 'control_embedder.proj.1.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.bias'], unexpected_keys=[], incorrect_shapes=[])
+[06-21 19:39:32|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 19:39:32|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 19:39:32|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 19:39:32|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.1_rm1/config.yaml
+[06-21 19:39:32|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_distilled_step4_bg0.1_rm1']
+[06-21 19:39:32|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_distilled_step4_bg0.1_rm1
+[06-21 19:39:32|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_weather_distilled_step4_bg0.1_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=4 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 19:39:32|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.1_rm1/sunny_weather_distilled_step4_bg0.1_rm1.json
+[06-21 19:39:32|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 19:39:32|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 19:39:32|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 19:39:32|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4
+[06-21 19:39:32|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 19:39:32|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 19:39:32|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 19:39:32|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 19:39:32|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 19:39:32|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4
+[06-21 19:39:32|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 19:39:32|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 19:39:32|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 19:40:10|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 19:40:10|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 19:40:38|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 31.669671271345578
+[06-21 19:40:38|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 19:40:38|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 19:40:39|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.1_rm1/sunny_weather_distilled_step4_bg0.1_rm1_control_edge.mp4
+[06-21 19:40:39|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 19:40:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 19:40:40|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.1_rm1/sunny_weather_distilled_step4_bg0.1_rm1.mp4
diff --git a/test/sunny/weather/distilled_step4_bg0.1_rm1/spec.json b/test/sunny/weather/distilled_step4_bg0.1_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..73000f8e5da4316c605eeca459c235b223fc8718
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.1_rm1/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "sunny_weather_distilled_step4_bg0.1_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 4,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows."
+}
\ No newline at end of file
diff --git a/test/sunny/weather/distilled_step4_bg0.1_rm1/sunny_weather_distilled_step4_bg0.1_rm1.json b/test/sunny/weather/distilled_step4_bg0.1_rm1/sunny_weather_distilled_step4_bg0.1_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..b934e2a066d7e03a4e5851cdcb08008d1b39305e
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.1_rm1/sunny_weather_distilled_step4_bg0.1_rm1.json
@@ -0,0 +1 @@
+{"name":"sunny_weather_distilled_step4_bg0.1_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":4,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.1_rm1.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/sunny/weather/distilled_step4_bg0.1_rm1/sunny_weather_distilled_step4_bg0.1_rm1.mp4 b/test/sunny/weather/distilled_step4_bg0.1_rm1/sunny_weather_distilled_step4_bg0.1_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..0d2c4ccc2a845b2120f1fe411a4790a74cf682a4
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.1_rm1/sunny_weather_distilled_step4_bg0.1_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b9a1ce7b618362e7decff56aef902e8e4b43b244620ab9aec9768f41481c1212
+size 3425640
diff --git a/test/sunny/weather/distilled_step4_bg0.1_rm1/sunny_weather_distilled_step4_bg0.1_rm1.txt b/test/sunny/weather/distilled_step4_bg0.1_rm1/sunny_weather_distilled_step4_bg0.1_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..464b6055f679cb63d0db8e54bd910217c87b403b
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.1_rm1/sunny_weather_distilled_step4_bg0.1_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.
\ No newline at end of file
diff --git a/test/sunny/weather/distilled_step4_bg0.1_rm1/sunny_weather_distilled_step4_bg0.1_rm1_control_edge.mp4 b/test/sunny/weather/distilled_step4_bg0.1_rm1/sunny_weather_distilled_step4_bg0.1_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..4e05a50fa2ad1e0a28d85922afab1e6c5bb0bdb6
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.1_rm1/sunny_weather_distilled_step4_bg0.1_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1118d385e00f89199bfa15fd4a05d2585b49ee3c84a34000045d27417dd720e7
+size 1818642
diff --git a/test/sunny/weather/distilled_step4_bg0.5_rm1/config.yaml b/test/sunny/weather/distilled_step4_bg0.5_rm1/config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..29e0162cf365a970244df3230ff4829bf3d7915a
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.5_rm1/config.yaml
@@ -0,0 +1,956 @@
+checkpoint:
+  broadcast_via_filesystem: 'False'
+  dcp_async_mode_enabled: 'False'
+  enable_gcs_patch_in_boto3: 'False'
+  jit:
+    device: cuda
+    dtype: bfloat16
+    enabled: 'False'
+    input_shape: null
+    strict: 'True'
+  keys_not_to_resume: []
+  keys_to_skip_loading: []
+  load_ema_to_reg: 'False'
+  load_from_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  load_path: ''
+  load_training_state: 'False'
+  only_load_scheduler_state: 'False'
+  save_iter: '500'
+  save_to_object_store:
+    bucket: bucket
+    credentials: credentials/s3_checkpoint.secret
+    enabled: 'True'
+  strict_resume: 'True'
+  type:
+    _target_: <class 'cosmos_transfer2._src.interactive.checkpointer.dcp_distill.DistributedCheckpointer'>
+    callbacks: null
+    disable_async: 'False'
+  verbose: 'True'
+dataloader_train:
+  _target_: <class 'cosmos_transfer2._src.predict2.datasets.joint_dataloader.IterativeJointDataLoader'>
+  dataloaders:
+    image_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f146312edd0>
+        batch_size: '2'
+        cache_augment_fn: null
+        cache_replay_name: image_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_image_dataset at 0x7f146312ef80>
+          len_t5: '512'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+    video_data:
+      dataloader:
+        _target_: <function get_cached_replay_dataloader at 0x7f146312edd0>
+        batch_size: '1'
+        cache_augment_fn: null
+        cache_replay_name: video_dataloader
+        cache_size: '32'
+        concat_size: '1'
+        dataset:
+          _target_: <function get_video_dataset at 0x7f146312f2e0>
+          len_t5: '512'
+          num_video_frames: '136'
+          resolution: '512'
+          t5_dim: '1024'
+        num_workers: '8'
+        pin_memory: 'True'
+        shuffle: 'False'
+        use_cache: 'False'
+        webdataset: 'False'
+      ratio: '1'
+  dataset:
+    augmentor_name: video_basic_augmentor_v2_with_control
+    caption_type: t2w_qwen2p5_7b
+    control_input_type: edge
+    dataset_resolution_type: gt720p
+    embedding_type: null
+    max_fps_thres: '60'
+    min_fps_thres: '10'
+    num_video_frames: '93'
+    resolution: '720'
+    use_native_fps: 'True'
+    video_decoder_name: video_naive_bytes
+  num_workers: '4'
+dataloader_val: null
+defaults:
+- _self_
+- data_train: null
+- data_val: null
+- optimizer: fusedadamw
+- scheduler: lambdalinear
+- callbacks: basic
+- model: ddp
+- net: null
+- net_fake_score: null
+- net_teacher: null
+- net_discriminator_head: null
+- conditioner: video_prediction_conditioner
+- ema: power
+- tokenizer: wan2pt1_tokenizer
+- checkpoint: s3
+- ckpt_type: dcp_distill
+- condition_postprocessor: null
+- experiment: null
+job:
+  cluster: null
+  group: cosmos3_interactive
+  name: dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge
+  project: cosmos_interactive
+  wandb_mode: online
+model:
+  _recursive_: 'False'
+  _target_: <class 'cosmos_transfer2._src.interactive.methods.distribution_matching.dmd2.DMD2Model'>
+  config:
+    base_load_from: null
+    condition_postprocessor:
+      _target_: <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>
+      hint_keys:
+      - edge
+    conditional_frames_probs:
+      0: 0.6
+      1: 0.2
+      2: 0.2
+    conditioner:
+      _target_: <class 'cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.defaults.conditioner.ControlVideo2WorldConditioner'>
+      control_input_depth:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth
+        output_key: control_input_depth
+      control_input_depth_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_depth_mask
+        output_key: control_input_depth_mask
+      control_input_edge:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge
+        output_key: control_input_edge
+      control_input_edge_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_edge_mask
+        output_key: control_input_edge_mask
+      control_input_inpaint:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint
+        output_key: control_input_inpaint
+      control_input_inpaint_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_inpaint_mask
+        output_key: control_input_inpaint_mask
+      control_input_seg:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg
+        output_key: control_input_seg
+      control_input_seg_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_seg_mask
+        output_key: control_input_seg_mask
+      control_input_vis:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis
+        output_key: control_input_vis
+      control_input_vis_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: control_input_vis_mask
+        output_key: control_input_vis_mask
+      fps:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: fps
+        output_key: fps
+      padding_mask:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.ReMapkey'>
+        dropout_rate: '0.0'
+        dtype: null
+        input_key: padding_mask
+        output_key: padding_mask
+      text:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.TextAttr'>
+        credential_path: credentials/s3_training.secret
+        dropout_rate: '0.2'
+        empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt
+        input_key:
+        - t5_text_embeddings
+        use_empty_string: 'False'
+      use_video_condition:
+        _target_: <class 'cosmos_transfer2._src.predict2.conditioner.BooleanFlag'>
+        dropout_rate: '0.0'
+        input_key: fps
+        output_key: use_video_condition
+    ema:
+      enabled: false
+      iteration_shift: 0
+      rate: 0.1
+    fsdp_shard_size: 1
+    grad_clip: true
+    input_caption_key: ai_caption
+    input_data_key: video
+    input_image_key: images
+    intermediate_feature_ids: null
+    load_teacher_weights: false
+    loss_reduce: mean
+    loss_scale_GAN_discriminator: 1.0
+    loss_scale_GAN_generator: 1.0
+    loss_scale_fake_score: 1.0
+    loss_scale_sid: 1.0
+    max_num_conditional_frames: 2
+    min_num_conditional_frames: 0
+    multiply_noise_by_video_len: true
+    neg_embed_path: ''
+    neg_prompt_str: The video captures a game playing, with bad crappy graphics and
+      cartoonish frames. It represents a recording of old outdated games. The lighting
+      looks very fake. The textures are very raw and basic. The geometries are very
+      primitive. The images are very pixelated and of poor CG quality. There are many
+      subtitles in the footage. Overall, the video is unrealistic at all.
+    net:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_discriminator_head: null
+    net_fake_score:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    net_teacher:
+      _target_: <class 'cosmos_transfer2._src.transfer2.networks.minimal_v4_lvg_dit_control_vace.MinimalV4LVGControlVaceDiT'>
+      adaln_lora_dim: '256'
+      atten_backend: minimal_a2a
+      concat_padding_mask: 'True'
+      condition_strategy: spaced
+      crossattn_emb_channels: '1024'
+      crossattn_proj_in_channels: '100352'
+      extra_per_block_abs_pos_emb: 'False'
+      in_channels: '16'
+      max_frames: '128'
+      max_img_h: '240'
+      max_img_w: '240'
+      mlp_ratio: '4.0'
+      model_channels: '2048'
+      num_blocks: '28'
+      num_control_branches: '1'
+      num_heads: '16'
+      num_max_modalities: '8'
+      out_channels: '16'
+      patch_spatial: '2'
+      patch_temporal: '1'
+      pos_emb_cls: rope3d
+      pos_emb_interpolation: crop
+      pos_emb_learnable: 'True'
+      rope_enable_fps_modulation: 'False'
+      rope_h_extrapolation_ratio: '3.0'
+      rope_t_extrapolation_ratio: '1.0'
+      rope_w_extrapolation_ratio: '3.0'
+      sac_config:
+        every_n_blocks: 1
+        mode: predict2_2b_720_aggressive
+      separate_embedders: 'False'
+      spatial_compression_factor: '8'
+      timestep_scale: '1.0'
+      use_adaln_lora: 'True'
+      use_after_proj_for_multi_branch: 'True'
+      use_crossattn_projection: 'True'
+      use_cuda_graphs: 'False'
+      use_input_hint_block: 'False'
+      use_wan_fp32_strategy: 'True'
+      vace_block_every_n: '7'
+      vace_has_mask: 'False'
+    noise_level_parameterization: trigflow
+    optimizer_discriminator_config:
+      _target_: <function get_base_optimizer at 0x7f14b445dcf0>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    optimizer_fake_score_config:
+      _target_: <function get_base_optimizer at 0x7f14b445dcf0>
+      betas:
+      - '0.9'
+      - '0.999'
+      capturable: 'True'
+      eps: 1e-08
+      lr: 2e-07
+      master_weights: 'True'
+      model: null
+      optim_type: fusedadam
+      weight_decay: '0.01'
+    precision: bfloat16
+    rectified_flow_loss_weight_uniform: false
+    rectified_flow_t_scaling_factor: 1.0
+    replace_cond_output_with_gt: true
+    resolution: '720'
+    scaling: rectified_flow
+    sde:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '-0.8'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    sde_D:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.modules.edm_sde.EDMSDE'>
+      p_mean: '0.0'
+      p_std: '1.6'
+      sigma_max: '80'
+      sigma_min: '0.0002'
+    selected_sampling_time:
+    - 1.5707963267948966
+    - 1.5042281630190728
+    - 1.373400766945016
+    - 1.0303768265243125
+    sigma_conditional: 0.0001
+    sigma_data: 1.0
+    state_ch: 16
+    state_t: 24
+    student_load_from: null
+    student_update_freq: 5
+    teacher_guidance: 3.0
+    teacher_load_from:
+      credentials: credentials/s3_checkpoint.secret
+      load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_nonuniform_hqv3p1_20250714_64N_rectified_flow/checkpoints/iter_000029000/model
+    text_encoder_class: reason1p1_7B
+    text_encoder_config:
+      ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/
+      compute_online: true
+      embedding_concat_strategy: full_concat
+      model_config:
+        _target_: <class 'cosmos_transfer2._src.predict2.text_encoders.reason1.QwenVLBaseModel'>
+        model_config:
+          _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig
+          activation_checkpoint:
+            mode: selective
+            models: vlm
+            selective_ac_option: op
+          add_answer_tag: 'True'
+          add_cross_attention: 'False'
+          add_image_start_end_tag: 'False'
+          add_tile_tag: 'False'
+          architectures:
+          - Qwen2_5_VLForConditionalGeneration
+          attention_dropout: '0.0'
+          attn_implementation: flash_attention_2
+          attn_implementation_autoset: 'True'
+          aux_loss_coeff: '0.0'
+          bad_words_ids: null
+          begin_suppress_tokens: null
+          bos_token_id: '151643'
+          cache_dir: null
+          checkpoint:
+            async_mode: disabled
+            create_seed_checkpoint: false
+            enable_checkpoint: false
+            export_dtype: float32
+            folder: checkpoint
+            interval: 500
+            interval_type: steps
+            model_weights_only: false
+          chunk_size_feed_forward: '0'
+          ckpt_dir: null
+          ckpt_path: null
+          comm:
+            init_timeout_seconds: 300
+            trace_buf_size: 20000
+            train_timeout_seconds: 100
+          cp_size: null
+          cross_attention_hidden_size: null
+          decoder_start_token_id: null
+          deterministic: 'False'
+          diversity_penalty: '0.0'
+          do_sample: 'False'
+          early_stopping: 'False'
+          encoder_no_repeat_ngram_size: '0'
+          eos_token_id: '151645'
+          ep_size: null
+          experimental:
+            enable_async_tensor_parallel: false
+            enable_compiled_autograd: false
+            pipeline_parallel_degree: 1
+          exponential_decay_length_penalty: null
+          finetuning_task: null
+          float8:
+            enable_float8_linear: false
+          forced_bos_token_id: null
+          forced_eos_token_id: null
+          freeze_llm: 'False'
+          freeze_mm_projector: 'False'
+          freeze_vision_encoder: 'False'
+          fsdp_enabled: 'False'
+          hidden_act: silu
+          hidden_size: '3584'
+          id2label:
+            0: LABEL_0
+            1: LABEL_1
+          image_token_id: '151655'
+          initializer_range: '0.02'
+          intermediate_size: '18944'
+          is_decoder: 'False'
+          is_encoder_decoder: 'False'
+          label2id:
+            LABEL_0: '0'
+            LABEL_1: '1'
+          length_penalty: '1.0'
+          loss_per_token: 'True'
+          max_batch_size: '1'
+          max_length: '20'
+          max_position_embeddings: '128000'
+          max_seq_len: '128000'
+          max_window_layers: '28'
+          min_length: '0'
+          mm_projector: null
+          model_type: qwen2_5_vl
+          name_or_path: Qwen/Qwen2.5-VL-7B-Instruct
+          no_repeat_ngram_size: '0'
+          num_attention_heads: '28'
+          num_beam_groups: '1'
+          num_beams: '1'
+          num_hidden_layers: '28'
+          num_key_value_heads: '4'
+          num_return_sequences: '1'
+          num_tiles: '1'
+          optimizer:
+            early_step_in_backward: false
+            end_lr: 2.5e-05
+            fused: false
+            init_lr: 1.0e-05
+            lr: 0.0003
+            lr_multiplier_llm: 1.0
+            lr_multiplier_mm_projector: 1.0
+            lr_multiplier_vision_encoder: 0.1
+            name: AdamW
+          output_attentions: 'False'
+          output_hidden_states: 'True'
+          output_scores: 'False'
+          pad_token_id: null
+          precision: bfloat16
+          prefix: null
+          prepend_padding: 'False'
+          problem_type: null
+          pruned_heads: _Nothing.NOTHING
+          remove_invalid_values: 'False'
+          repetition_penalty: '1.0'
+          return_dict: 'True'
+          return_dict_in_generate: 'False'
+          rms_norm_eps: 1e-06
+          rope_scaling:
+            mrope_section:
+            - '16'
+            - '24'
+            - '24'
+            rope_type: default
+            type: default
+          rope_theta: '1000000.0'
+          s3_credential_path: credentials/pbss_dir.secret
+          seed: '0'
+          sep_token_id: null
+          sliding_window: '32768'
+          suppress_tokens: null
+          task_specific_params: null
+          temperature: '1.0'
+          tf_legacy_loss: 'False'
+          tie_encoder_decoder: 'False'
+          tie_word_embeddings: 'False'
+          tile_tag_type: space_separated
+          tokenizer_class: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+          top_k: '50'
+          top_p: '1.0'
+          torch_dtype: bfloat16
+          torchscript: 'False'
+          training:
+            compile: false
+            context_parallel_degree: 1
+            data_parallel_replicate_degree: 1
+            data_parallel_shard_degree: -1
+            disable_loss_parallel: false
+            enable_cpu_offload: false
+            fsdp_reshard_after_forward: default
+            mixed_precision_param: bfloat16
+            mixed_precision_reduce: float32
+            steps: 400000
+            tensor_parallel_degree: 1
+            use_cosine_decay: false
+            use_linear_decay: true
+            warmup_steps: 1000
+          training_seq_len: '4096'
+          transformers_version: 4.51.0.dev0
+          typical_p: '1.0'
+          use_bfloat16: 'False'
+          use_cache: 'False'
+          use_fsdp2: 'True'
+          use_return_dict: 'True'
+          use_rope_from_torchtitan: 'False'
+          use_sliding_window: 'False'
+          video_token_id: '151656'
+          vision_config:
+            _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig
+            add_cross_attention: 'False'
+            architectures: null
+            attn_implementation: flash_attention_2
+            attn_implementation_autoset: 'True'
+            bad_words_ids: null
+            begin_suppress_tokens: null
+            bos_token_id: null
+            chunk_size_feed_forward: '0'
+            cross_attention_hidden_size: null
+            decoder_start_token_id: null
+            depth: '32'
+            diversity_penalty: '0.0'
+            do_sample: 'False'
+            early_stopping: 'False'
+            embed_dim: null
+            encoder_no_repeat_ngram_size: '0'
+            eos_token_id: null
+            exponential_decay_length_penalty: null
+            finetuning_task: null
+            forced_bos_token_id: null
+            forced_eos_token_id: null
+            fullatt_block_indexes:
+            - '7'
+            - '15'
+            - '23'
+            - '31'
+            hidden_act: silu
+            hidden_size: '1280'
+            id2label:
+              0: LABEL_0
+              1: LABEL_1
+            in_channels: '3'
+            in_chans: '3'
+            intermediate_size: '3420'
+            is_decoder: 'False'
+            is_encoder_decoder: 'False'
+            label2id:
+              LABEL_0: '0'
+              LABEL_1: '1'
+            length_penalty: '1.0'
+            max_length: '20'
+            min_length: '0'
+            mlp_ratio: null
+            model_type: qwen2_5_vl
+            name_or_path: ''
+            no_repeat_ngram_size: '0'
+            num_beam_groups: '1'
+            num_beams: '1'
+            num_heads: '16'
+            num_return_sequences: '1'
+            out_hidden_size: '3584'
+            output_attentions: 'False'
+            output_hidden_states: 'False'
+            output_scores: 'False'
+            pad_token_id: null
+            patch_size: '14'
+            prefix: null
+            problem_type: null
+            pruned_heads: _Nothing.NOTHING
+            remove_invalid_values: 'False'
+            repetition_penalty: '1.0'
+            return_dict: 'True'
+            return_dict_in_generate: 'False'
+            sep_token_id: null
+            spatial_merge_size: '2'
+            spatial_patch_size: '14'
+            suppress_tokens: null
+            task_specific_params: null
+            temperature: '1.0'
+            temporal_patch_size: '2'
+            tf_legacy_loss: 'False'
+            tie_encoder_decoder: 'False'
+            tie_word_embeddings: 'True'
+            tokenizer_class: null
+            tokens_per_second: '2'
+            top_k: '50'
+            top_p: '1.0'
+            torch_dtype: bfloat16
+            torchscript: 'False'
+            typical_p: '1.0'
+            use_bfloat16: 'False'
+            window_size: '112'
+          vision_encoder: openai/clip-vit-base-patch32
+          vision_encoder_config:
+            depth_init: true
+            dim: 1024
+            ffn_dim_multiplier: null
+            head_dim: null
+            hidden_act: null
+            hidden_dim: 4096
+            image_size: 1024
+            image_token_id: null
+            multiple_of: null
+            n_heads: 16
+            n_kv_heads: null
+            n_layers: 24
+            norm_eps: 1.0e-05
+            norm_type: rmsnorm
+            num_channels: 3
+            patch_size: 16
+            proj_bias: null
+            qkv_bias: null
+            rope_theta: 10000.0
+            use_cache: false
+            use_rope_from_torchtitan: false
+          vision_encoder_in_channels: '3'
+          vision_end_token_id: '151653'
+          vision_start_token_id: '151652'
+          vision_token_id: '151654'
+          vocab_size: '152064'
+          z_loss_coeff: '0.0'
+        tokenizer:
+          _target_: <function build_tokenizer at 0x7f14b8b0f9a0>
+          cache_dir: null
+          tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct
+      n_layers_per_group: 5
+      s3_credential_path: credentials/s3_checkpoint.secret
+    timestep_shift: 5.0
+    tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.tokenizers.wan2pt1.Wan2pt1VAEInterface'>
+      chunk_duration: '81'
+      load_mean_std: 'False'
+      name: wan2pt1_tokenizer
+    use_clean_cond_timesteps: true
+    use_neg_prompt_str: false
+    use_torch_compile: false
+    vis_debug: false
+    warmup_steps: 1
+model_parallel:
+  _cpu_offloading_context: null
+  async_tensor_model_parallel_allreduce: false
+  autocast_dtype: torch.float32
+  barrier_with_L1_time: true
+  batch_p2p_comm: true
+  batch_p2p_sync: true
+  bf16: false
+  context_parallel_size: 4
+  cpu_offloading: false
+  cpu_offloading_activations: true
+  cpu_offloading_double_buffering: false
+  cpu_offloading_num_layers: 0
+  cpu_offloading_weights: true
+  cross_entropy_fusion_impl: native
+  cross_entropy_loss_fusion: false
+  deallocate_pipeline_outputs: false
+  defer_embedding_wgrad_compute: false
+  delay_wgrad_compute: false
+  deterministic_mode: false
+  enable_autocast: false
+  expert_model_parallel_size: 1
+  expert_tensor_parallel_size: 1
+  finalize_model_grads_func: null
+  fp16: false
+  grad_scale_func: null
+  grad_sync_func: null
+  gradient_accumulation_fusion: false
+  hierarchical_context_parallel_sizes: null
+  microbatch_group_size_per_vp_stage: 1
+  moe_extended_tp: false
+  no_sync_func: null
+  num_microbatches_with_partial_activation_checkpoints: null
+  overlap_moe_expert_parallel_comm: false
+  overlap_p2p_comm: false
+  overlap_p2p_comm_warmup_flush: false
+  param_sync_func: null
+  params_dtype: torch.float32
+  perform_initialization: true
+  pipeline_dtype: null
+  pipeline_model_parallel_comm_backend: null
+  pipeline_model_parallel_size: 1
+  sequence_parallel: false
+  tensor_model_parallel_size: 1
+  timers: null
+  tp_comm_atomic_ag: false
+  tp_comm_atomic_rs: false
+  tp_comm_bootstrap_backend: nccl
+  tp_comm_bulk_dgrad: true
+  tp_comm_bulk_wgrad: true
+  tp_comm_overlap: false
+  tp_comm_overlap_ag: true
+  tp_comm_overlap_disable_fc1: false
+  tp_comm_overlap_disable_qkv: false
+  tp_comm_overlap_rs: true
+  tp_comm_overlap_rs_dgrad: false
+  tp_comm_split_ag: true
+  tp_comm_split_rs: true
+  use_cpu_initialization: false
+  use_ring_exchange_p2p: false
+  use_te_rng_tracker: false
+  variable_seq_lengths: false
+  virtual_pipeline_model_parallel_size: null
+  wgrad_deferral_limit: 0
+optimizer:
+  _target_: <function get_base_optimizer at 0x7f14b445dcf0>
+  betas:
+  - '0.9'
+  - '0.999'
+  capturable: 'True'
+  eps: 1e-08
+  lr: 1e-06
+  master_weights: 'True'
+  model: null
+  optim_type: fusedadam
+  weight_decay: '0.01'
+scheduler:
+  _target_: <class 'cosmos_transfer2._src.imaginaire.functional.lr_scheduler.LambdaLinearScheduler'>
+  cycle_lengths:
+  - '400000'
+  f_max:
+  - '0.99'
+  f_min:
+  - '0.4'
+  f_start:
+  - 1e-06
+  verbosity_interval: '0'
+  warm_up_steps:
+  - '100'
+trainer:
+  callbacks:
+    compile_tokenizer:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.compile_tokenizer.CompileTokenizer'>
+      compile_after_iterations: '4'
+      dynamic: 'False'
+      enabled: 'True'
+    dataloader_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.dataloading_monitor.DetailedDataLoadingSpeedMonitor'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+    device_monitor:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.device_monitor.DeviceMonitor'>
+      every_n: '10'
+      log_memory_detail: 'True'
+      save_s3: 'True'
+      step_size: '1'
+      upload_every_n_mul: '10'
+    every_n_sample_ema:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'True'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    every_n_sample_reg:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.every_n_draw_sample_distilled.EveryNDrawSample'>
+      do_sample_val_prompts: 'True'
+      every_n: '250'
+      is_ema: 'False'
+      is_image: 'False'
+      is_sample: 'True'
+      n_sample_to_save: '128'
+      num_prompts: '4'
+      num_samples_per_prompt: '3'
+      num_sampling_step: '4'
+      num_sampling_step_teacher: '35'
+      save_s3: 'True'
+      show_all_frames: 'False'
+      step_size: '1'
+      use_negative_prompt: 'False'
+    grad_clip:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.grad_clip.GradClip'>
+      clip_norm: '1.0'
+      force_finite: 'True'
+    heart_beat:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.heart_beat.HeartBeat'>
+      every_n: '10'
+      save_s3: 'True'
+      step_size: '1'
+      update_interval_in_minute: '20'
+    iter_speed:
+      _target_: <class 'cosmos_transfer2._src.predict2.callbacks.iter_speed.IterSpeed'>
+      every_n: '10'
+      hit_thres: '100'
+      save_s3: 'True'
+      save_s3_every_log_n: '10'
+    low_prec:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.utils.callback.LowPrecisionCallback'>
+      config: null
+      trainer: null
+      update_iter: '1'
+    manual_gc:
+      _target_: <class 'cosmos_transfer2._src.imaginaire.callbacks.manual_gc.ManualGarbageCollection'>
+      every_n: '5'
+      warm_up: '5'
+    wandb:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '1'
+      save_logging_iter_multipler: '10'
+      save_s3: 'True'
+    wandb_10x:
+      _target_: <class 'cosmos_transfer2._src.interactive.callbacks.wandb_log_rcm.WandbCallback'>
+      logging_iter_multipler: '10'
+      save_logging_iter_multipler: '1'
+      save_s3: 'True'
+  compile_config:
+    recompile_limit: '8'
+    use_duck_shape: 'True'
+  cudnn:
+    benchmark: 'True'
+    deterministic: 'False'
+  ddp:
+    broadcast_buffers: 'True'
+    find_unused_parameters: 'False'
+    static_graph: 'True'
+  distributed_parallelism: fsdp
+  grad_accum_iter: '1'
+  grad_scaler_args:
+    enabled: 'False'
+  logging_iter: '10'
+  max_iter: '30000'
+  max_val_iter: null
+  memory_format: torch.preserve_format
+  profiling:
+    enable_memory_snapshot: 'False'
+    enable_profiling: 'False'
+    profile_freq: '1'
+    profile_memory: 'False'
+    record_shape: 'False'
+    save_s3: 'False'
+    target_ranks:
+    - '0'
+    - '1'
+    - '2'
+    - '3'
+    - '4'
+    - '5'
+    - '6'
+    - '7'
+    with_modules: 'True'
+    with_stack: 'True'
+  run_validation: 'False'
+  run_validation_on_start: 'False'
+  seed: '0'
+  straggler_detection:
+    analyze_backward: 'True'
+    analyze_dataloading: 'True'
+    analyze_forward: 'True'
+    analyze_optimizer: 'True'
+    enabled: 'False'
+    max_diff: '2.0'
+    profile_freq: '1'
+    raise_error: 'True'
+    report_freq: '100'
+  timeout_period: '999999999'
+  type: <class 'cosmos_transfer2._src.interactive.trainer.trainer_distillation.ImaginaireDistillationTrainer'>
+  validation_iter: '100'
+upload_reproducible_setup: 'True'
diff --git a/test/sunny/weather/distilled_step4_bg0.5_rm1/console.log b/test/sunny/weather/distilled_step4_bg0.5_rm1/console.log
new file mode 100644
index 0000000000000000000000000000000000000000..0de480962fe8bf05e13ff40da589e9ec6d1ec9bf
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.5_rm1/console.log
@@ -0,0 +1,22 @@
+[06-21 19:40:56|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 19:40:56|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 19:40:57|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 19:40:57|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:40:58|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 19:40:58|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:41:02|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 19:41:02|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 19:41:06|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 19:41:06|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 19:41:06|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.5_rm1/config.yaml
+[06-21 19:41:06|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_distilled_step4_bg0.5_rm1']
+[06-21 19:41:06|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_distilled_step4_bg0.5_rm1
+[06-21 19:41:06|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.5_rm1/sunny_weather_distilled_step4_bg0.5_rm1.json
+[06-21 19:41:06|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 19:41:06|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 19:42:12|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 19:42:13|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.5_rm1/sunny_weather_distilled_step4_bg0.5_rm1_control_edge.mp4
+[06-21 19:42:13|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 19:42:15|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.5_rm1/sunny_weather_distilled_step4_bg0.5_rm1.mp4
diff --git a/test/sunny/weather/distilled_step4_bg0.5_rm1/debug.log b/test/sunny/weather/distilled_step4_bg0.5_rm1/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..802f2d6c3590cbce494aaa3d3e92539529232b23
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.5_rm1/debug.log
@@ -0,0 +1,1484 @@
+[06-21 19:40:43|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=True)
+[06-21 19:40:44|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 19:40:44|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser
+[06-21 19:40:55|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 19:40:55|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:<module>] for the back comptiable pytorch! New DefaultLoadPlanner class is created.
+[06-21 19:40:56|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.5_rm1') model='edge/distilled' checkpoint_path='s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000' experiment='dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge' config_file='cosmos_transfer2/_src/interactive/configs/registry_transfer2p5.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer=<CompileMode.NONE: 'none'> enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge'])
+[06-21 19:40:56|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found.
+[06-21 19:40:56|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9.
+[06-21 19:40:56|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1...
+[06-21 19:40:56|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2...
+[06-21 19:40:56|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor...
+[06-21 19:40:56|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control...
+[06-21 19:40:56|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control...
+[06-21 19:40:56|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control...
+[06-21 19:40:56|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context...
+[06-21 19:40:56|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input...
+[06-21 19:40:56|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets...
+[06-21 19:40:56|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.interactive.configs.registry_experiment
+[06-21 19:40:56|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiment_list
+[06-21 19:40:56|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_ac_predict2p5
+[06-21 19:40:56|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Predict2.5-2B/robot/action-cond(38c6c645-7d41-4560-8eeb-6f4ddc0e6574)
+[06-21 19:40:56|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision main robot/action-cond/38c6c645-7d41-4560-8eeb-6f4ddc0e6574_ema_bf16.pt
+[06-21 19:40:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_predict2p5
+[06-21 19:40:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_dmd2_transfer2p5
+[06-21 19:40:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_knowledge_distill_ac_predict2p5
+[06-21 19:40:57|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.interactive.configs.registry_experiment.experiments_self_forcing_ac_predict2p5
+[06-21 19:40:57|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0.
+[06-21 19:40:57|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:81:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_interactive_fastgen/cosmos_interactive/cosmos_fastgen_dmd2_trigflow_distill_cosmos_transfer2p5_2B_bidirectional_edge_bugfix_v2/checkpoints/iter_000010000
+[06-21 19:40:57|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:109:load_model_from_checkpoint] Setting load_teacher_weights=False for inference to skip teacher checkpoint download
+[06-21 19:40:57|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:94:__init__] Setting precision to torch.bfloat16
+[06-21 19:40:57|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model...
+[06-21 19:40:57|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70)
+[06-21 19:40:57|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:40:58|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache
+[06-21 19:40:58|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16
+[06-21 19:40:58|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32
+[06-21 19:40:58|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/.
+[06-21 19:40:58|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f)
+[06-21 19:40:58|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Reason1-7B --repo-type model --revision 3210bec0495fdc7a8d3dbb8d58da5711eab4b423 --include '*'
+[06-21 19:41:02|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423.
+[06-21 19:41:02|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated
+[06-21 19:41:02|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8)
+[06-21 19:41:02|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Predict2.5-2B --repo-type model --revision f176dc95b4a70f53ce01c4b302851595e7322b00 tokenizer.pth
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.65 s
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: 
+ ReMapkey 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: fps 
+	Dtype: None
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: 
+ ReMapkey 
+	input key: padding_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: padding_mask 
+	Dtype: None
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: 
+ TextAttr 
+	input key: ['t5_text_embeddings']
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.2
+	Output key: [crossattn_emb]
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: 
+ BooleanFlag 
+	input key: fps
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: use_video_condition 
+	 This is a boolean flag
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: 
+ ReMapkey 
+	input key: control_input_edge
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge 
+	Dtype: None
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: 
+ ReMapkey 
+	input key: control_input_vis
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis 
+	Dtype: None
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: 
+ ReMapkey 
+	input key: control_input_depth
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth 
+	Dtype: None
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: 
+ ReMapkey 
+	input key: control_input_seg
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg 
+	Dtype: None
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: 
+ ReMapkey 
+	input key: control_input_inpaint
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint 
+	Dtype: None
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: 
+ ReMapkey 
+	input key: control_input_edge_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_edge_mask 
+	Dtype: None
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: 
+ ReMapkey 
+	input key: control_input_vis_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_vis_mask 
+	Dtype: None
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: 
+ ReMapkey 
+	input key: control_input_depth_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_depth_mask 
+	Dtype: None
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: 
+ ReMapkey 
+	input key: control_input_seg_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_seg_mask 
+	Dtype: None
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: 
+ ReMapkey 
+	input key: control_input_inpaint_mask
+	Param count: 0 
+	Trainable: None
+	Dropout rate: 0.0
+	Output key: control_input_inpaint_mask 
+	Dtype: None
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:231:build_model] 
+
+==============config condition_postprocessor: {'hint_keys': ['edge'], '_target_': <class 'cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor'>}
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:232:build_model] 
+
+==============condition_postprocessor: <cosmos_transfer2._src.interactive.conditioner.condition_postprocessors.ControlConditionPostprocessor object at 0x7f1462f241c0>
+[06-21 19:41:03|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_model: 6.47 s
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:03|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.64 s
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl <class 'cosmos_transfer2._src.predict2.networks.minimal_v4_dit.VideoRopePosition3DEmb'>
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag:  True. We enable bias if no AdaLN LoRA for backward compatibility.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:41:04|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128.
+[06-21 19:41:04|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128.
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Cosmos2InteractiveModel: build_net: 0.65 s
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:86:build_model] ==========Instantiating networks...==========
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:87:build_model] net: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:88:build_model] net_teacher: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:89:build_model] net_fake_score: MinimalV4LVGControlVaceDiT(
+  (x_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=72, out_features=2048, bias=False)
+    )
+  )
+  (pos_embedder): VideoRopePosition3DEmb()
+  (t_embedder): Sequential(
+    (0): Timesteps()
+    (1): TimestepEmbedding(
+      (linear_1): Linear(in_features=2048, out_features=2048, bias=False)
+      (activation): SiLU()
+      (linear_2): Linear(in_features=2048, out_features=6144, bias=False)
+    )
+  )
+  (blocks): ModuleList(
+    (0-27): 28 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlAwareDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+      )
+    )
+  )
+  (final_layer): CheckpointWrapper(
+    (_checkpoint_wrapped_module): CheckpointWrapper(
+      (_checkpoint_wrapped_module): CheckpointWrapper(
+        (_checkpoint_wrapped_module): FinalLayer(
+          (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+          (linear): Linear(in_features=2048, out_features=64, bias=False)
+          (adaln_modulation): Sequential(
+            (0): SiLU()
+            (1): Linear(in_features=2048, out_features=256, bias=False)
+            (2): Linear(in_features=256, out_features=4096, bias=False)
+          )
+        )
+      )
+    )
+  )
+  (t_embedding_norm): RMSNorm()
+  (crossattn_proj): Sequential(
+    (0): Linear(in_features=100352, out_features=1024, bias=True)
+    (1): GELU(approximate='none')
+  )
+  (control_embedder): PatchEmbed(
+    (proj): Sequential(
+      (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2)
+      (1): Linear(in_features=520, out_features=2048, bias=False)
+    )
+  )
+  (control_blocks): ModuleList(
+    (0): CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (before_proj): Linear(in_features=2048, out_features=2048, bias=True)
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+    (1-3): 3 x CheckpointWrapper(
+      (_checkpoint_wrapped_module): ControlEncoderDiTBlock(
+        (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (self_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (cross_attn): Attention(
+          (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (q_norm): RMSNorm()
+          (k_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (k_norm): RMSNorm()
+          (v_proj): Linear(in_features=1024, out_features=2048, bias=False)
+          (v_norm): Identity()
+          (output_proj): Linear(in_features=2048, out_features=2048, bias=False)
+          (output_dropout): Identity()
+          (attn_op): MinimalA2AAttnOp()
+        )
+        (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False)
+        (mlp): GPT2FeedForward(
+          (activation): GELU(approximate='none')
+          (layer1): Linear(in_features=2048, out_features=8192, bias=False)
+          (layer2): Linear(in_features=8192, out_features=2048, bias=False)
+        )
+        (adaln_modulation_self_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_cross_attn): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (adaln_modulation_mlp): Sequential(
+          (0): SiLU()
+          (1): Linear(in_features=2048, out_features=256, bias=False)
+          (2): Linear(in_features=256, out_features=6144, bias=False)
+        )
+        (after_proj): Linear(in_features=2048, out_features=2048, bias=True)
+      )
+    )
+  )
+)
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:128:build_model] Freezing the CR1 embedding projection layer in student net..
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:132:build_model] Freezing the CR1 embedding projection layer in fake score net..
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:135:build_model] Freezing teacher net..
+[06-21 19:41:05|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:119:setup_loss_specs] Using mean loss reduce with loss scale 1.0
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 7.81 s
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:297:download] Downloading checkpoint nvidia/Cosmos-Transfer2.5-2B/distilled/edge(41f07f13-f2e4-4e34-ba4c-86f595acbc20)
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:165:_hf_download] uvx 'hf>=1.3.5' download nvidia/Cosmos-Transfer2.5-2B --repo-type model --revision bbaeedb2b57cc8b14a44653099e2551adb69dcc7 distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 19:41:05|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:214:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/bbaeedb2b57cc8b14a44653099e2551adb69dcc7/distilled/general/edge/41f07f13-f2e4-4e34-ba4c-86f595acbc20_ema_bf16.pt
+[06-21 19:41:06|INFO|cosmos_transfer2/_src/interactive/utils/model_loader.py:173:_process_pt_state_dict_for_ema] Loading EMA-exported checkpoint with net.* keys directly
+[06-21 19:41:06|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:408:load_state_dict] load model in non-strict mode
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.10.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.11.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.12.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint.
+[06-21 19:41:06|CRITICAL|cosmos_transfer2/_src/interactive/methods/cosmos2_interactive_model.py:409:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[])
+[06-21 19:41:06|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:819:load_state_dict] load fake score model in non-strict mode
+[06-21 19:41:06|CRITICAL|cosmos_transfer2/_src/interactive/methods/distribution_matching/dmd2.py:820:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['accum_video_sample_counter', 'accum_image_sample_counter', 'accum_iteration', 'accum_train_in_hours', 'x_embedder.proj.1.weight', 'pos_embedder.seq', 'pos_embedder.dim_spatial_range', 'pos_embedder.dim_temporal_range', 't_embedder.1.linear_1.weight', 't_embedder.1.linear_2.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.4._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.4._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.4._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.5._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.5._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.5._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.6._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.6._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.6._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.7._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.7._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.7._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.8._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.8._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.8._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.9._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.9._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.9._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.10._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.10._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.10._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.11._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.11._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.11._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.12._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.12._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.12._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.13._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.13._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.13._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.14._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.14._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.14._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.15._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.15._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.15._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.16._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.16._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.16._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.17._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.17._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.17._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.18._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.18._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.18._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.19._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.19._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.19._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.20._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.20._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.20._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.21._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.21._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.21._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.22._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.22._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.22._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.23._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.23._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.23._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.24._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.24._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.24._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.25._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.25._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.25._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.26._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.26._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.self_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer1.weight', 'blocks.27._checkpoint_wrapped_module.mlp.layer2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'blocks.27._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.linear.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.1.weight', 'final_layer._checkpoint_wrapped_module._checkpoint_wrapped_module._checkpoint_wrapped_module.adaln_modulation.2.weight', 't_embedding_norm.weight', 'crossattn_proj.0.weight', 'crossattn_proj.0.bias', 'control_embedder.proj.1.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.1._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.2._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.2._checkpoint_wrapped_module.after_proj.bias', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks.3._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks.3._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.weight', 'control_blocks.3._checkpoint_wrapped_module.after_proj.bias'], unexpected_keys=[], incorrect_shapes=[])
+[06-21 19:41:06|INFO|cosmos_transfer2/inference.py:139:__init__] Setting net_fake_score to None for distilled model inference
+[06-21 19:41:06|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled
+[06-21 19:41:06|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples
+[06-21 19:41:06|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.5_rm1/config.yaml
+[06-21 19:41:06|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_distilled_step4_bg0.5_rm1']
+[06-21 19:41:06|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_distilled_step4_bg0.5_rm1
+[06-21 19:41:06|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_weather_distilled_step4_bg0.5_rm1' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=4 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None)
+[06-21 19:41:06|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.5_rm1/sunny_weather_distilled_step4_bg0.5_rm1.json
+[06-21 19:41:06|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled
+[06-21 19:41:06|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4', 'edge_mask': None, 'edge_mask_prompt': None}
+[06-21 19:41:06|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video...
+[06-21 19:41:06|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4
+[06-21 19:41:06|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 19:41:06|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings...
+[06-21 19:41:07|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available...
+[06-21 19:41:07|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided.
+[06-21 19:41:07|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs...
+[06-21 19:41:07|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4
+[06-21 19:41:07|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255
+[06-21 19:41:07|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2
+[06-21 19:41:07|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845
+[06-21 19:41:44|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2
+[06-21 19:41:44|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774
+[06-21 19:42:12|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 31.73373093502596
+[06-21 19:42:12|WARNING|cosmos_transfer2/inference.py:299:_generate_sample] Generated output has 120 frames (> 93). The distilled Transfer 2.5 model is not trained to support auto-regressive generation
+[06-21 19:42:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 19:42:13|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.5_rm1/sunny_weather_distilled_step4_bg0.5_rm1_control_edge.mp4
+[06-21 19:42:13|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled
+[06-21 19:42:14|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']}
+[06-21 19:42:15|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/sunny/weather/distilled_step4_bg0.5_rm1/sunny_weather_distilled_step4_bg0.5_rm1.mp4
diff --git a/test/sunny/weather/distilled_step4_bg0.5_rm1/spec.json b/test/sunny/weather/distilled_step4_bg0.5_rm1/spec.json
new file mode 100644
index 0000000000000000000000000000000000000000..4e2fada99896465fb73350cbca047f4bf20ff96a
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.5_rm1/spec.json
@@ -0,0 +1,13 @@
+{
+  "name": "sunny_weather_distilled_step4_bg0.5_rm1",
+  "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.",
+  "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4",
+  "guidance": 3,
+  "num_steps": 4,
+  "seed": 2025,
+  "edge": {
+    "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4",
+    "control_weight": 1.0
+  },
+  "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows."
+}
\ No newline at end of file
diff --git a/test/sunny/weather/distilled_step4_bg0.5_rm1/sunny_weather_distilled_step4_bg0.5_rm1.json b/test/sunny/weather/distilled_step4_bg0.5_rm1/sunny_weather_distilled_step4_bg0.5_rm1.json
new file mode 100644
index 0000000000000000000000000000000000000000..4b2137d15155d17afb9cdecfad58d3609ef21e76
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.5_rm1/sunny_weather_distilled_step4_bg0.5_rm1.json
@@ -0,0 +1 @@
+{"name":"sunny_weather_distilled_step4_bg0.5_rm1","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":4,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/edge_threshold_grid/_edges/sunny/edge_bg0.5_rm1.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null}
\ No newline at end of file
diff --git a/test/sunny/weather/distilled_step4_bg0.5_rm1/sunny_weather_distilled_step4_bg0.5_rm1.mp4 b/test/sunny/weather/distilled_step4_bg0.5_rm1/sunny_weather_distilled_step4_bg0.5_rm1.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..ae516f0d6a7671335384783d22b180943694f5c2
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.5_rm1/sunny_weather_distilled_step4_bg0.5_rm1.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:caab48f4b8729bc4404f3050f3cd825435be32e01d3741bf0bc450ee4593709c
+size 3359904
diff --git a/test/sunny/weather/distilled_step4_bg0.5_rm1/sunny_weather_distilled_step4_bg0.5_rm1.txt b/test/sunny/weather/distilled_step4_bg0.5_rm1/sunny_weather_distilled_step4_bg0.5_rm1.txt
new file mode 100644
index 0000000000000000000000000000000000000000..464b6055f679cb63d0db8e54bd910217c87b403b
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.5_rm1/sunny_weather_distilled_step4_bg0.5_rm1.txt
@@ -0,0 +1 @@
+The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.
\ No newline at end of file
diff --git a/test/sunny/weather/distilled_step4_bg0.5_rm1/sunny_weather_distilled_step4_bg0.5_rm1_control_edge.mp4 b/test/sunny/weather/distilled_step4_bg0.5_rm1/sunny_weather_distilled_step4_bg0.5_rm1_control_edge.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..a7e58d7f057ee0f0db3dd0132c780ecd3d41a7e8
--- /dev/null
+++ b/test/sunny/weather/distilled_step4_bg0.5_rm1/sunny_weather_distilled_step4_bg0.5_rm1_control_edge.mp4
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7a99f3639d51bc435cf50318e1c689dd0c653511fe4a724911e93c08403523ea
+size 1859428